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The processes that drive knowledge production and dissemination in scientific environments are embedded within the social, technical, cultural and epistemic practices of the constituent research communities. This article presents a methodology to unpack specific social and epistemic dimensions of scientific knowledge production using, as a case study, the Center for Embedded Networked Sensing (CENS), a National Science Foundation “little science” research center involved in theoretical and applied work in the field of wireless communication and sensor networks. By analysis of its scholarly record, I construct a social network of coauthorship, linking individuals that have coauthored scholarly artifacts (journal articles and conference papers), and an epistemic network of topic co-occurrence, linking concepts and knowledge constructs in the same scholarly artifacts. This article reports on ongoing work directed at the study of the emergence and evolution of these networks of scientific interaction. I present some preliminary results and introduce a socio-epistemic method for an historical analysis of network co-evolution. I outline a research design to support further investigations of knowledge production in scientific circles.

The success of eScience research depends not only upon effective collaboration between scientists and technologists but also upon the active involvement of data archivists. Archivists rarely receive scientific data until findings are published, by which time important information about their origins, context, and provenance may be lost. Research reported here addresses the life cycle of data from collaborative ecological research with embedded networked sensing technologies. A better understanding of these processes will enable archivists to participate in earlier stages of the life cycle and to improve curation of these types of scientific data. Evidence from our interview study and field research yields a nine-stage life cycle. Among the findings are the cumulative effect of decisions made at each stage of the life cycle; the balance of decision-making between scientific and technology research partners; and the loss of certain types of data that may be essential to later interpretation.

We analyze data sharing practices of astronomers over the past fifteen years. An analysis of URL links embedded in papers published by the American Astronomical Society reveals that the total number of links included in the literature rose dramatically from 1997 until 2005, when it leveled off at around 1500 per year. The analysis also shows that the availability of linked material decays with time: in 2011, 44% of links published a decade earlier, in 2001, were broken. A rough analysis of link types reveals that links to data hosted on astronomers' personal websites become unreachable much faster than links to datasets on curated institutional sites. To gauge astronomers' current data sharing practices and preferences further, we performed in-depth interviews with 12 scientists and online surveys with 173 scientists, all at a large astrophysical research institute in the United States: the Harvard-Smithsonian Center for Astrophysics, in Cambridge, MA. Both the in-depth interviews and the online survey indicate that, in principle, there is no philosophical objection to data-sharing among astronomers at this institution. Key reasons that more data are not presently shared more efficiently in astronomy include: the difficulty of sharing large data sets; over reliance on non-robust, non-reproducible mechanisms for sharing data (e.g. emailing it); unfamiliarity with options that make data-sharing easier (faster) and/or more robust; and, lastly, a sense that other researchers would not want the data to be shared. We conclude with a short discussion of a new effort to implement an easy-to-use, robust, system for data sharing in astronomy, at theastrodata.org, and we analyze the uptake of that system to-date.

We analyze the online response to the preprint publication of a cohort of 4,606 scientific articles submitted to the preprint database arXiv.org between October 2010 and May 2011. We study three forms of responses to these preprints: downloads on the arXiv.org site, mentions on the social media site Twitter, and early citations in the scholarly record. We perform two analyses. First, we analyze the delay and time span of article downloads and Twitter mentions following submission, to understand the temporal configuration of these reactions and whether one precedes or follows the other. Second, we run regression and correlation tests to investigate the relationship between Twitter mentions, arXiv downloads, and article citations. We find that Twitter mentions and arXiv downloads of scholarly articles follow two distinct temporal patterns of activity, with Twitter mentions having shorter delays and narrower time spans than arXiv downloads. We also find that the volume of Twitter mentions is statistically correlated with arXiv downloads and early citations just months after the publication of a preprint, with a possible bias that favors highly mentioned articles.

Authorship and citation practices evolve with time and differ by academic discipline. As such, indicators of research productivity based on citation records are naturally subject to historical and disciplinary effects. We observe these effects on a corpus of astronomer career data constructed from a database of refereed publications. We employ a simple mechanism to measure research output using author and reference counts available in bibliographic databases to develop a citation-based indicator of research productivity. The total research impact (tori) quantifies, for an individual, the total amount of scholarly work that others have devoted to his/her work, measured in the volume of research papers. A derived measure, the research impact quotient (riq), is an age-independent measure of an individual's research ability. We demonstrate that these measures are substantially less vulnerable to temporal debasement and cross-disciplinary bias than the most popular current measures. The proposed measures of research impact, tori and riq, have been implemented in the Smithsonian/NASA Astrophysics Data System.

Introducción: La calidad de vida (CV), según la OMS, comprende la percepción que tiene una persona sobre su salud física, nivel de independencia, relaciones sociales, sistema de valores y metas, expectativas, estándares y preocupaciones (1). El estudiante de medicina se enfrenta con un alto nivel de competitividad en el transcurso de su formación académica con aumento de la carga horaria a medida que avanza; esto origina síntomas como ansiedad, estrés, tristeza, entre otros. Si tales aspectos no son tratados o son enmascarados pueden transformarse en depresión, ansiedad generalizada, burnout y hasta suicidio (2). Objetivo: Describir la CV de los estudiantes de medicina de la Universidad Nacional de Córdoba, considerando el ciclo completo de formación divididos en dos grupos de 1-3° y 4-5°. Métodos: Estudio transversal, mediante el Sistema Guaraní de la UNC se aplicó el cuestionario online WHOQOL-BREF, que utiliza escala de Likert a todos los alumnos. Este valora la CV global y satisfacción respecto al estado de salud física, psicológica, relaciones interpersonales y entorno. Se consideró significativo una p

Introducción: El Síndrome de Burnout es un trastorno adaptativo, crónico, asociado con inadecuado afrontamiento de las demandas psicológicas del trabajo, es el origen de daño laboral de causa psicosocial más importante. Objetivo: Conocer el riesgo de Burnout en médicos de la ciudad de Córdoba, su relación con factores sociodemográficos y con especialidades clínicas o quirúrgicas. Métodos: Se realizó un estudio observacional de corte transversal en 10 centros asistenciales públicos y privados de la Ciudad de Córdoba. Se entrevistaron 483 médicos, recogiendo variables sociodemográficas y cuestionario Maslach Burnout Inventory evaluando el riesgo de Burnout. La edad fue estratificada desde los 20 años, de 10 en 10 hasta 60. p < 0,05 fue significativa. Resultados: Se entrevistaron 483 médicos, 62,1% mujeres, el 70% entre los 20 y los 40 años; 54,2% solteros, 42.9% ejerció < de 5 años la profesión; el 66 del total (16,5%) tuvo alto riesgo de Burnout, las variables asociadas fueron: trabajar en un establecimiento público (p < 0,00001), ser soltero (p < 0,009), trabajar más de 60 hs (p < 0,001), dormir menos de 42 hs semanales (p< 0,005), tener entre 20 y 29 años (p

Background: Mortality from cardiovascular disease (CVD) is increased in rheumatoid arthritis, not explained by traditional cardiovascular risk factors (CVRF), suggesting a role of inflammation. This process would occur early. The common sonographic markers of subclinical atherosclerosis (SA), are increased carotid intima-media thickness (cIMT) or the presence of carotid atherosclerotic plaque and they are closely related to CVD.Aims: To evaluate sonographic markers and cardiovascular risk factors in early Arthritis (EA).A case control study of patients with EA, defined by 3 joints swollen with Conclusions: Ultrasound evidence of atherosclerosis subclinical markers was not found in this study, suggesting that this process may occur after a year of diagnosis.