Search

International collaboration is sometimes encouraged in the belief that it generates higher quality research or is more capable of addressing societal problems. In support of this, there is evidence that the journal articles of international teams tend to be more cited than average. Reasons other than the benefits of international collaboration could explain this, however, such as increased national audiences from researcher networks. This article investigates research quality using 148,977 UK-based journal articles with post publication peer review scores from the 2021 Research Excellence Framework (REF). Based on an ordinal regression model controlling for collaboration, international partners increased the odds of higher quality scores in 27 out of 34 Units of Assessment (UoAs) and all four Main Panels. At the country level, the results suggests that UK collaboration with other advanced economies generates higher quality research, even if the countries produce lower citation impact journal articles than the UK. Conversely, collaborations with weaker economies tend to produce lower quality research, as judged by REF assessors. Overall, the results give the first large scale evidence of when international co-authorship for journal articles is beneficial, at least from a UK perspective, and support the continuation of research policies that promote it.

Co-authored articles tend to be more cited in many academic fields, but is this because they tend to be higher quality or is it an audience effect: increased awareness through multiple author networks? We address this unknown with the largest investigation yet into whether author numbers associate with research quality, using expert peer quality judgements for 122,331 non-review journal articles submitted by UK academics for the 2014-20 national assessment process. Spearman correlations between the number of authors and the quality scores show moderately strong positive associations (0.2-0.4) in the health, life, and physical sciences, but weak or no positive associations in engineering, and social sciences. In contrast, we found little or no association in the arts and humanities, and a possible negative association for decision sciences. This gives reasonably conclusive evidence that greater numbers of authors associates with higher quality journal articles in the majority of academia outside the arts and humanities, at least for the UK. Positive associations between team size and citation counts in areas with little association between team size and quality also show that audience effects or other non-quality factors account for the higher citation rates of co-authored articles in some fields.

Altmetrics are web-based quantitative impact or attention indicators for academic articles that have been proposed to supplement citation counts. This article reports the first assessment of the extent to which mature altmetrics from Altmetric.com and Mendeley associate with journal article quality. It exploits expert norm-referenced peer review scores from the UK Research Excellence Framework 2021 for 67,030+ journal articles in all fields 2014-17/18, split into 34 Units of Assessment (UoAs). The results show that altmetrics are better indicators of research quality than previously thought, although not as good as raw and field normalised Scopus citation counts. Surprisingly, field normalising citation counts can reduce their strength as a quality indicator for articles in a single field. For most UoAs, Mendeley reader counts are the best, tweet counts are also a relatively strong indicator in many fields, and Facebook, blogs and news citations are moderately strong indicators in some UoAs, at least in the UK. In general, altmetrics are the strongest indicators of research quality in the health and physical sciences and weakest in the arts and humanities. The Altmetric Attention Score, although hybrid, is almost as good as Mendeley reader counts as a quality indicator and reflects more non-scholarly impacts.

Systematic evaluations of publicly funded research typically employ a combination of bibliometrics and peer review, but it is not known whether the bibliometric component introduces biases. This article compares three alternative mechanisms for scoring 73,612 UK Research Excellence Framework (REF) journal articles from all 34 field-based Units of Assessment (UoAs) 2014-17: peer review, field normalised citations, and journal average field normalised citation impact. All three were standardised into a four-point scale. The results suggest that in almost all academic fields, bibliometric scoring can disadvantage departments publishing high quality research, with the main exception of article citation rates in chemistry. Thus, introducing journal or article level citation information into peer review exercises may have a regression to the mean effect. Bibliometric scoring slightly advantaged women compared to men, but this varied between UoAs and was most evident in the physical sciences, engineering, and social sciences. In contrast, interdisciplinary research gained from bibliometric scoring in about half of the UoAs, but relatively substantially in two. In conclusion, out of the three potential source of bias examined, the most serious seems to be the tendency for bibliometric scores to work against high quality departments, assuming that the peer review scores are correct. This is almost a paradox: although high quality departments tend to get the highest bibliometric scores, bibliometrics conceal the full extent of departmental quality advantages. This should be considered when using bibliometrics or bibliometric informed peer review.

Citation counts are widely used as indicators of research quality to support or replace human peer review and for lists of top cited papers, researchers, and institutions. Nevertheless, the relationship between citations and research quality is poorly evidenced. We report the first large-scale science-wide academic evaluation of the relationship between research quality and citations (field normalised citation counts), correlating them for 87,739 journal articles in 34 field-based UK Units of Assessment (UoAs). The two correlate positively in all academic fields, from very weak (0.1) to strong (0.5), reflecting broadly linear relationships in all fields. We give the first evidence that the correlations are positive even across the arts and humanities. The patterns are similar for the field classification schemes of Scopus and Dimensions.ai, although varying for some individual subjects and therefore more uncertain for these. We also show for the first time that no field has a citation threshold beyond which all articles are excellent quality, so lists of top cited articles are not pure collections of excellence, and neither is any top citation percentile indicator. Thus, whilst appropriately field normalised citations associate positively with research quality in all fields, they never perfectly reflect it, even at high values.

Purpose: Scholars often aim to conduct high quality research and their success is judged primarily by peer reviewers. Research quality is difficult for either group to identify, however, and misunderstandings can reduce the efficiency of the scientific enterprise. In response, we use a novel term association strategy to seek quantitative evidence of aspects of research that associate with high or low quality. Design/methodology/approach: We extracted the words and 2-5-word phrases most strongly associating with different quality scores in each of 34 Units of Assessment (UoAs) in the Research Excellence Framework (REF) 2021. We extracted the terms from 122,331 journal articles 2014-2020 with individual REF2021 quality scores. Findings: The terms associating with high- or low-quality scores vary between fields but relate to writing styles, methods, and topics. We show that the first-person writing style strongly associates with higher quality research in many areas because it is the norm for a set of large prestigious journals. We found methods and topics that associate with both high- and low-quality scores. Worryingly, terms associating with educational and qualitative research attract lower quality scores in multiple areas. REF experts may rarely give high scores to qualitative or educational research because the authors tend to be less competent, because it is harder to make world leading research with these themes, or because they do not value them. Originality: This is the first investigation of journal article terms associating with research quality.