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Biomedical research reporting guidelines provide a framework by which journal editors and the researchers who conduct studies can ensure that the reported research is both complete and transparent. With more than 16 different guidelines for the 11 major study types of medical and health research, authors need to be familiar with journal reporting standards. To assess the current endorsements of reporting guidelines for biomedical and health research, this study examined the instructions for authors (IFAs) of 559 biomedical journals by 11 prominent publishers that publish original research or systematic reviews/meta-analyses. Data from the above original sources were cleaned and restructured, and analyzed in a database and text miner. Each journal's instructions or information for authors were examined to code if any of five prominent reporting guidelines were mentioned and what form the guideline adherence demonstration took. Seventeen journals published the reporting guidelines. Four of the five reporting guidelines listed journals as endorsers. For journals with open peer review reports, a sample of journals and peer reviews was analyzed for mention of adherence to reporting guidelines. The endorsement of research guidelines by publishers and their associated journals is inconsistent for some publishers, with only a small number of journals endorsing relevant guidelines. Based on the analysis of open peer reviews, there is evidence that some reviewers check the adherence to the endorsed reporting guidelines. Currently, there is no universal endorsement of reporting guidelines by publishers nor ways of demonstrating adherence to guidelines. Journals may not directly inform authors of their guideline endorsements, making it more difficult for authors to adhere to endorsed guidelines. Suggestions derived from the findings are provided for authors, journals, and reporting guidelines to ensure increased adequate use of endorsed reporting guidelines. [ABSTRACT FROM AUTHOR]

Journals that adopt open peer review (OPR), where review reports of published articles are publicly available, provide an opportunity to study both review content characteristics and quantitative aspects of the overall review process. This study investigates two areas relevant to the quality assessment of manuscript reviews. First, do journal policies for reviewers to identify themselves influence how reviewers evaluate the merits of a manuscript based on the relative frequency of hedging terms and research-related terms appearing in their reviews? Second, is there an association between the number of reviews/reviewers and the manuscript's research impact once published as measured by citations? We selected reviews for articles published in 17 OPR journals from 2017 to 2018 to examine the incidence of reviewers' uses of hedging terms and research-related terms. The results suggest that there was little difference in the relative use of hedging term usage regardless of whether reviewers were required to identify themselves or if this was optional, indicating that the use of hedging in review contents was not influenced by journal requirements for reviewers to identify themselves. There was a larger difference observed for research-related terminology. We compared the total number of reviews for a manuscript, rounds of revisions, and the number of reviewers with the number of Web of Science citations the article received since publication. The findings reveal that scrutiny by more reviewers or conducting more reviews or rounds of review do not result in more impactful papers for most of the journals studied. Implications for peer review practice are discussed. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to examine the information needs and seeking behaviors of African refugees in the Midwest United States. The research also investigates the sources participants consulted and their satisfaction with their information seeking and the information found. Design/methodology/approach: This qualitative research study recruited 18 African refugees to participate in one or more data collection modes used in the study (questionnaire, interview, focus group). The data were analyzed using qualitative open, axial and selective coding approaches to identify themes. Findings: The analysis of the data collected provides evidence that refugees had specific information needs centered on housing, health care, employment and education. They were not necessarily satisfied with the information they were able to find. Participants reported initially relying heavily on their caseworkers as sources of information when they first arrived in the United States until they were able to establish larger networks of contacts, which then expanded their information behaviors. Research limitations/implications: The number of participants and regional focus of the study do not allow for generalization of the findings to all African refugees in the United States. Still, the findings shed light on how to better serve the information needs of African refugees to help them adjust to life in their new environment. Practical implications: The findings of the study provide guidance for agencies that assist African refugees in adjusting to life in the United States. Originality/value: This study represents one of the few investigations of the information needs and seeking behaviors of African refugees in the United States. [ABSTRACT FROM AUTHOR]

Social media platforms, search engine transaction logs, Web portal transaction logs, large text corpora, and other data sources offer users a variety of invaluable data sources. Data generated based on social media platforms and other data sources have become important sources of big data for researchers in information science. Big data provide not only challenges but also opportunities for information science. Emerging big data trends inevitably have an impact on research methods in information science. The authors of this paper discuss the impact of big data on research methods in information science. This paper addresses these challenges and opportunities through the lens of research methods, ranging from data processing, to sampling, to information visualization, to temporal analysis, to sentiment analysis, to correlation, to cause-effect relationship, to data accessibility, to data privacy, and data ethics issues. The discussions on related aspects of research methods provoke a healthy reflection and debate for the information science research community, which can help researchers in the field produce sound research designs for big data-oriented research studies and assist information practitioners in solving problems they face in the big data age. Research methods are fundamental and essential for any research studies. Big data analysis has a natural relationship with research methods. The paper discusses an emerging and important research topic big data from the unique angle of research methods. [ABSTRACT FROM AUTHOR]

Three months of server transaction logs containing complete clickstream data for an image collection digital library were analysed for usage patterns to better understand user searching and browsing behaviour in this environment. Eleven types of user actions were identified from the log content. The study is novel in its combined analytical techniques and use of clickstream data from an image-based digital library. Three analytical techniques were used to analyse the data: (a) network analysis to better understand the relationship between sequential actions; (b) sequential pattern mining to identify frequent action sequences; and (c) k-means cluster analysis to identify groups of session patterns. The analysis revealed strong ties between several pairs of actions, relatively short pattern sequences that frequently duplicate previous actions and largely uniform session behaviour with little individual item browsing within sessions, indicating users are primarily engaged in purposeful and directed searching. Developers of image-based digital libraries should consider design features that support rapid browsing. [ABSTRACT FROM AUTHOR]

As ALISE moves into its second century, the Board of Directors has been strategizing about how to continue to keep ALISE relevant and make it more visible and nimble in an environment of increasing competition for association membership and research publications. We would like to report on several developments within the Association this past year regarding our publications and the ALISE Annual Meeting. [ABSTRACT FROM AUTHOR]

Relationships between authors based on characteristics of published literature have been studied for decades. Author cocitation analysis using mapping techniques has been most frequently used to study how closely two authors are thought to be in intellectual space based on how members of the research community co-cite their works. Other approaches exist to study author relatedness based more directly on the text of their published works. In this study we present static and dynamic word-based approaches using vector space modeling, as well as a topic-based approach based on latent Dirichlet allocation for mapping author research relatedness. Vector space modeling is used to define an author space consisting of works by a given author. Outcomes for the two word-based approaches and a topic-based approach for 50 prolific authors in library and information science are compared with more traditional author cocitation analysis using multidimensional scaling and hierarchical cluster analysis. The two word-based approaches produced similar outcomes except where two authors were frequent co-authors for the majority of their articles. The topic-based approach produced the most distinctive map. [ABSTRACT FROM AUTHOR]

A quantitative investigation of information science publications indexed in Web of Science by scholars affiliated with Canadian institutions was conducted for the period 1989 to 2008 as a follow-up to a 1991 study conducted by Chu and Wolfram. The findings reveal essentially linear growth in the number of contributions, as institutions housing library and information science programs contribute the most publications. The largest growth was observed in the area of information behaviour, where greater levels of author and inter-institutional co-authorship have been observed in recent years. [ABSTRACT FROM AUTHOR]

A longstanding area of study in indexing is the identification of factors affecting vocabulary usage and consistency. This topic has seen a recent resurgence with a focus on social tagging. Tagging data for scholarly articles made available by the social bookmarking Website CiteULike (www.citeulike.org) were used to test the use of inter-indexer/tagger consistency density values, based on a method developed by the authors by comparing calculations for highly tagged documents representing three subject areas (Science, Social Science, Social Software). The analysis revealed that the developed method is viable for a large dataset. The findings also indicated that there were no significant differences in tagging consistency among the three topic areas, demonstrating that vocabulary usage in a relatively new subject area like social software is no more inconsistent than the more established subject areas investigated. The implications of the method used and the findings are discussed. [ABSTRACT FROM AUTHOR]

The authors investigated 11 sports-related query keywords extracted from a public search engine query log to better understand sports-related information seeking on the Internet. After the query log contents were cleaned and query data were parsed, popular sports-related keywords were identified, along with frequently co-occurring query terms associated with the identified keywords. Relationships among each sports-related focus keyword and its related keywords were characterized and grouped using multidimensional scaling (MDS) in combination with traditional hierarchical clustering methods. The two approaches were synthesized in a visual context by highlighting the results of the hierarchical clustering analysis in the visual MDS configuration. Important events, people, subjects, merchandise, and so on related to a sport were illustrated, and relationships among the sports were analyzed. A small-scale comparative study of sports searches with and without term assistance was conducted. Searches that used search term assistance by relying on previous query term relationships outperformed the searches without the search term assistance. The findings of this study provide insights into sports information seeking behavior on the Internet. The developed method also may be applied to other query log subject areas. [ABSTRACT FROM AUTHOR]

This study reports on a longitudinal investigation of database usage available through BadgerLink, a general audience digital library available to Wisconsin residents in the United States. The authors analyzed BadgerLink database usage, including EBSCO databases sampled every two years over a six-year period between 1999 and 2005 and four years of usage for ProQuest databases between 2002 and 2005. A quantitative analysis of the transaction log summaries was carried out. Available data included database usage, title requests, session usage by institution, format requests (full-text and abstracts), and search feature usage. The results reveal changes in usage patterns, with relative requests for resources in areas such as social sciences and education increasing, and requests for resources in business/finance and leisure/entertainment decreasing. More advanced search feature usage was also observed over time. Relative usage by searchers affiliated with academic institutions has grown dramatically. Longitudinal analysis of database usage presents a picture of dynamic change of resources usage and search interactions over time. The findings of this study are more in line with results from other online database and digital library environments than Web search engine and Web page environments. [ABSTRACT FROM AUTHOR]

Session characteristics taken from large transaction logs of three Web search environments (academic Web site, public search engine, consumer health information portal) were modeled using cluster analysis to determine if coherent session groups emerged for each environment and whether the types of session groups are similar across the three environments. The analysis revealed three distinct clusters of session behaviors common to each environment: “hit and run” sessions on focused topics, relatively brief sessions on popular topics, and sustained sessions using obscure terms with greater query modification. The findings also revealed shifts in session characteristics over time for one of the datasets, away from “hit and run” sessions toward more popular search topics. A better understanding of session characteristics can help system designers to develop more responsive systems to support search features that cater to identifiable groups of searchers based on their search behaviors. For example, the system may identify struggling searchers based on session behaviors that match those identified in the current study to provide context sensitive help. [ABSTRACT FROM AUTHOR]

A multidimensional-scaling approach is used to analyze frequently used medical-topic terms in queries submitted to a Web-based consumer health information system. Based on a year-long transaction log file, five medical focus keywords (stomach, hip, stroke, depression, and cholesterol) and their co-occurring query terms are analyzed. An overlap-coefficient similarity measure and a conversion measure are used to calculate the proximity of terms to one another based on their co-occurrences in queries. The impact of the dimensionality of the visual configuration, the cutoff point of term co-occurrence for inclusion in the analysis, and the Minkowski metric power k on the stress value are discussed. A visual clustering of groups of terms based on the proximity within each focus-keyword group is also conducted. Term distributions within each visual configuration are characterized and are compared with formal medical vocabulary. This investigation reveals that there are significant differences between consumer health query-term usage and more formal medical terminology used by medical professionals when describing the same medical subject. Future directions are discussed. [ABSTRACT FROM AUTHOR]

Purpose - The purpose of this article is to examine interindexer consistency on a larger scale than other studies have done to determine if group consensus is reached by larger numbers of indexers and what, if any, relationships emerge between assigned terms. Design/methodology/approach - In total, 64 MLIS students were recruited to assign up to five terms to a document. The authors applied basic data modeling and the exploratory statistical techniques of multi-dimensional scaling (MDS) and hierarchical cluster analysis to determine whether relationships exist in indexing consistency and the coocurrence of assigned terms. Findings - Consistency in the assignment of indexing terms to a document follows an inverse shape, although it is not strictly power law-based unlike many other social phenomena. The exploratory techniques revealed that groups of terms clustered together. The resulting term cooccurrence relationships were largely syntagmatic. Research limitations/implications - The results are based on the indexing of one article by non-expert indexers and are, thus, not generalizable. Based on the study findings, along with the growing popularity of folksonomies and the apparent authority of communally developed information resources, communally developed indexes based on group consensus may have merit. Originality/value - Consistency in the assignment of indexing terms has been studied primarily on a small scale. Few studies have examined indexing on a larger scale with more than a handful of indexers. Recognition of the differences in indexing assignment has implications for the development of public information systems, especially those that do not use a controlled vocabulary and those tagged by end-users. In such cases, multiple access points that accommodate the different ways that users interpret content are needed so that searchers may be guided to relevant content despite using different terminology. [ABSTRACT FROM AUTHOR]

Index modeling and computer simulation techniques are used to examine the influence of indexing frequency distributions, indexing exhaustivity distributions, and three weighting methods on hypothetical document spaces in a vector-based information retrieval (IR) system. The way documents are indexed plays an important role in retrieval. The authors demonstrate the influence of different indexing characteristics on document space density (DSD) changes and document space discriminative capacity for IR. Document environments that contain a relatively higher percentage of infrequently occurring terms provide lower density outcomes than do environments where a higher percentage of frequently occurring terms exists. Different indexing exhaustivity levels, however, have little influence on the document space densities. A weighting algorithm that favors higher weights for infrequently occurring terms results in the lowest overall document space densities, which allows documents to be more readily differentiated from one another. This in turn can positively influence IR. The authors also discuss the influence on outcomes using two methods of normalization of term weights (i.e., means and ranges) for the different weighting methods. [ABSTRACT FROM AUTHOR]

Two large data sets of queries submitted to the Excite search service were used to derive different distributions of query and search behaviours (query-term usage across queries, terms used per query, page requests per query, queries per user/ session, query frequency across users). The authors fitted each data set to theoretical models used in Informetric research, in additional to the standard Zipf model to which most frequency distributions of Internet usage phenomena are informally fitted. The generalized inverse Gaussian-Poisson distribution provided the best fits for the models tested. With more accurate models to represent observed Web usage behaviours, researchers will be better able to simulate user behaviours. [ABSTRACT FROM AUTHOR]

Usage and user feedback about a state digital library, in which the developers/designers, content providers, different types of libraries and their staffs, and a variety of user groups represent a loose federation of separate organizations with diverse expectations and needs, are investigated. Through corroboratory evidence from usage statistics of Internet-based database services available through the digital library, responses to a statewide-administered library survey, and a Web-based survey of end users, the authors identify contributing factors for the organizational usability of state digital libraries. The authors refine and enhance an organizational usability model for the unique environment of state digital libraries and identify three modes of interaction (influence, communication, activity) and the challenges each interaction presents: in addressing diverse player needs and expectations; the unequal awareness and training in using state digital libraries; and the lack of sufficient communication channels among players. In addition, the findings highlight the double-edged impact of physical libraries on the state digital library. The term and notion of the "half-life" index-number of literature obsolescence, as well as their borrowing from nuclear physics and adaptation into the literature of literature obsolescence, have up to now been attributed to the librarian Burton and the physicist Kebler and to their famous 1960 journal article. In this article it is documented that (1) Burton and Kebler in their 1960 article were not the first to use the term literature "half-life"; (2) it was not Burton and Kebler who borrowed the conception of "half-life" from nuclear physics and not them who adapted it into the literature of literature obsolescence; (3) in their 1960 article Burton and Kebler first made critical and later ambiguous statements, and finally attributed only "some validity" to the idea of literature half-life; (4) Burton and Kebler stated and... [ABSTRACT FROM AUTHOR]

Investigates the influence of index term distributions and indexing levels on the document called DARE. Areas of information science research; Importance of term distribution on the density of document spaces; Impact of document clusters on different indexing environments.

Investigates the impact of term frequencies, term distributions, and indexing exhaustivity on the representation of document spaces in a visual, vector-based retrieval environment. Comparison of document-space densities resulting from combinations of indexing characteristics with the inclusion or exclusion of index terms of a given frequency; Significance of information visualization techniques in information retrieval (IR) systems; Features of IR systems.

Presents a visual term discrimination value analysis method which uses a density space within a distance-angle-based visual information retrieval environment. Information visualization; Term discrimination capacity analysis; Term density space analysis; Advantages of the method.

Analyzes Web queries by users of the Excite search engine in order to study actual Web searching by the public in the United States. General interest of users in recreation and entertainment; Modification of queries; Use of advanced search queries; Use of relevance feedback.

Focuses on queries submitted to the Excite search engine for subject content based on the concurrence of terms within multiterm queries. Categorization of the most frequently co-occurring term pairs into developed subject areas; Use of hierarchical cluster analysis and multidimensional scaling; Well-defined high-level clusters of broad subject areas.

Presents a citation analysis of selected mass communication journals using clustering and multidimensional scaling techniques. Relationships among international journals; US journals at the center of the field; Description of the field through geographic and theory/research dimensions; Scholarly community development; Ties among journals within a given discipline or subfield.

Provides an overview of the current state of networking technology in rural libraries. Role of rural libraries in addressing information needs of rural communities; Model for educating rural librarians in technological advancements that will enhance library service to rural communities; Implementation of the model in rural settings.

Presents the findings of a survey on information networking education in North American library schools. Faculty attitudes towards the impact of networking education on library and information science (LIS); Adoption of aspects of networking in the curriculum; Significance of information technology developments to LIS education.

Explores the relationship of searcher perceptions of the performance of hypertext bibliographic retrieval systems. Reference to studies which examined searcher behavior of full-text hypertext systems; Performance of bibliographic searching by hypertext.

Explores inter-record linkage relationships of a bibliographic hypertext system through the use of descriptor term co-occurrences. Models of term co-occurrence with testing against observed data; Need for the construction of an appropriate model in light of the structure of a hypertext system for the study of systems design of inter-record linkages and system navigation.

Discusses searcher behavior and affective response to a hypertext-based information retrieval system called HyperLynx for searchers with different search skills and backgrounds. Search items; Node numbers; Research questions; user comments on Hyperlynx; Research implications.

This research aims to analyze the visibility and international impact of Latin American scientific papers in Metric Studies of Information published from 2011 to 2016. It identifies the most productive countries, the journals that disseminated this research, the intensity of their scientific impact, and characterizes the scope of citations received at the national, regional and global level by applying citer analysis. As a research procedure, 1,115 papers were retrieved from the Scopus database, with at least one author from Latin America We focused on 1,107 papers produced by the 10 most productive. We identified 474 journals that published these papers. The journal core comprises 20 journals responsible for the dissemination of 380 (34%) of the paper corpus. Cluster analysis was used to understand the relationships among the 10 most productive countries. In order to verify the range of the science produced by the countries analyzed, country-based citer analysis was used. The cluster analysis revealed three groups of more homogenous countries regarding the volume and impact of research production and two isolated countries - Brazil and Peru. We concluded that the Latin American research is carried out by half of these countries, especially Brazil, accounting for more than half of this production. [ABSTRACT FROM AUTHOR]

Data citation, where products of research such as data sets, software, and tissue cultures are shared and acknowledged, is becoming more common in the era of Open Science. Currently, the practice of formal data citation—where data references are included alongside bibliographic references in the reference section of a publication—is uncommon. We examine the prevalence of data citation, documenting data sharing and reuse, in a sample of full text articles from the biological/biomedical sciences, the fields with the most public data sets available documented by the Data Citation Index (DCI). We develop a method that combines automated text extraction with human assessment for revealing candidate occurrences of data sharing and reuse by using terms that are most likely to indicate their occurrence. The analysis reveals that informal data citation in the main text of articles is far more common than formal data citations in the references of articles. As a result, data sharers do not receive documented credit for their data contributions in a similar way as authors do for their research articles because informal data citations are not recorded in sources such as the DCI. Ongoing challenges for the study of data citation are also outlined. [ABSTRACT FROM AUTHOR]

The influence of sample size on informetric characteristics is examined to determine whether theoretical mathematical models can adequately fit large data sets. Two large data sets of queries submitted to the Excite search service were sampled for search characteristics (term frequencies, terms used per query, pages viewed per query, queries submitted per session) producing data sets of various sizes that were fitted to theoretical models to determine how the sample may influence a model's goodness-of-fit. Although theoretical models could adequately fit smaller data sets of up to 5000 observations in some cases, larger data sets could not be satisfactorily fitted using several goodness-of-fit techniques. Investigators must take into account that sample size does influence goodness-of-fit outcomes. The nature of the data and not the limitations of given goodness-of-fit tests results in significant outcomes. Such goodness-of-fit tests should be used for comparative purposes, rather than significance testing. [ABSTRACT FROM AUTHOR]

Examines how public Web searching has changed from September 16, 1997 to December 20, 1999. Comparative statistics from two studies of Excite queries' data sets; Distribution of sample of queries across subject categories.

Author research impact was examined based on citer analysis (the number of citers as opposed to the number of citations) for 90 highly cited authors grouped into three broad subject areas. Citer-based outcome measures were also compared with more traditional citation-based measures for levels of association. The authors found that there are significant differences in citer-based outcomes among the three broad subject areas examined and that there is a high degree of correlation between citer and citation-based measures for all measures compared, except for two outcomes calculated for the social sciences. Citer-based measures do produce slightly different rankings of authors based on citer counts when compared to more traditional citation counts. Examples are provided. Citation measures may not adequately address the influence, or reach, of an author because citations usually do not address the origin of the citation beyond self-citations. [ABSTRACT FROM AUTHOR]

Provides Web site search topics on entertainment and sex in the U.S. Indication on the programming systems; Trace on the Web queries; Determination on the Excite search data.

This study investigates the content of questions and responses about the Zika virus on Yahoo! Answers as a recent example of how public concerns regarding an international health issue are reflected in social media. We investigate the contents of posts about the Zika virus on Yahoo! Answers, identify and reveal subject patterns about the Zika virus, and analyze the temporal changes of the revealed subject topics over 4 defined periods of the Zika virus outbreak. Multidimensional scaling analysis, temporal analysis, and inferential statistical analysis approaches were used in the study. A resulting 2‐layer Zika virus schema, and term connections and relationships are presented. The results indicate that consumers' concerns changed over the 4 defined periods. Consumers paid more attention to the basic information about the Zika virus, and the prevention and protection from the Zika virus at the beginning of the outbreak of the Zika virus. During the later periods, consumers became more interested in the role that the government and health organizations played in the public health emergency. [ABSTRACT FROM AUTHOR]

The large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Bibliometric, information retrieval (IR), text mining, and natural language processing techniques can assist to address this challenge, but have yet to be widely used in digital libraries (DL). This special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL) was compiled after the first joint BIRNDL workshop that was held at the joint conference on digital libraries (JCDL 2016) in Newark, New Jersey, USA. It brought together IR and DL researchers and professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric, and recommendation techniques that can advance the state of the art in scholarly document understanding, analysis, and retrieval at scale. This special issue includes 14 papers: four extended papers originating from the first BIRNDL workshop 2016 and the BIR workshop at ECIR 2016, four extended system reports of the CL-SciSumm Shared Task 2016 and six original research papers submitted via the open call for papers. [ABSTRACT FROM AUTHOR]

This article aims to contribute to the discussion on authorship in contemporary science from Foucauldian and Kuhnian perspectives, highlighting the social aspects of science and the role of authorship in scientific revolutions. Thus, it describes the functions of the 'author' discussed by Foucault that can assist to reveal the characteristics of the scientific practice and examples of how theories are materialized. As a result, it identifies the ways in which modern science is developed and how knowledge is construed by multiple authors, group authors, the merit that is attributed by citations, etc. This article highlights the complexity of authorship attribution and the need to rethink generalized bibliometric techniques to evaluate science considering other aspects that go beyond the mere listing of the authors. [ABSTRACT FROM AUTHOR]

This report discusses the Overcoming Barriers to Information Access (B2A) program. This is a doctoral cohort program at the University of Wisconsin-Milwaukee funded by the Institute for Museum and Library Services. The program has focused on educating the next generation of doctoral graduates in library and information science with an emphasis on the theme of overcoming barriers to information access. Fellows were provided resources to support their educational activities, research and instructional experiences. In this paper the principal investigator for the program and the B2A Fellows reflect on the challenges and the rewards of their experiences in the program. Key findings that emerged include the importance of building community throughout the program and exposure to diverse perspectives. This initiative shows that although funding packages provide important resources to students, they do not buy extra time. The reflections in this paper provide insights into the doctoral student experience that can benefit other library and information science doctoral programs. [ABSTRACT FROM AUTHOR]

Objectives: Air pollutants can affect lung function and also the immune system. In a study about lung function of salt miners in relation to the complex exposure in a salt mine, we also analysed selected immunological parameters and inflammation markers in the blood of miners. Effect of salt dust, diesel exhaust, nitrogen oxides (NOx) and smoking on the biomarkers was analysed. Methods: Blood was drawn from 286 salt miners, and the soluble intercellular adhesion molecule-1 (s-ICAM), monocyte chemotactic protein (MCP-1) and clara cell protein (CC16) were analysed by an immunoassay, blood profile was done and lymphocyte subpopulations (CD3, CD3/CD4, CD3/CD8, CD19, NK-cells, CD3/HLA-DR) were determined by flow cytometry. Salt dust was measured by two-step gravimetry (personal sampling). Diesel exhaust was measured as elemental carbon concentration by coulometry. NOx were determined by an electrochemical cell method. Differences between non-smokers, former smokers and active smokers were analysed by analysis of variance. Linear regression analysis to describe exposure-response relationships was done with regard to confounding factors [smoking, inflammatory diseases, time of blood drawing, respiratory infection and body-mass index (BMI)]. Results: Significant differences between non-smokers and active smokers were found for most of the leukocyte types (e.g. granulocytes P = 0.000, lymphocytes P = 0.002, T-cells P 0.033) and for some soluble parameters (ICAM P=0.000, IgM P=0.007, IgE P=0.035). Increasing numbers of total lymphocytes, T-cells and HLA-DR positive T-cells in relation to exposure were found by linear regression analysis (e.g. for inhalable dust:total lymphocytes P = 0.011, T-cells P = 0.061, HLA-DR positive T-cells P = 0.007). Conclusion: Comparison of immunological markers in non-smokers and active smokers confirms leukocytosis and inflammation following tobacco consumption. The combined exposure of salt dust, diesel exhaust and NOx seems to influence the immune system. Together, the results suggest that the analysis of leukocytes and their subsets can complete other investigations (lung function, questionnaire) to monitor exposure-response relationships in occupational studies investigating the effect of inhaled substances. Longitudinal studies will be necessary to determine the predictive value of the immunological changes. [ABSTRACT FROM AUTHOR]