scholarly journals Reforming research assessment

eLife ◽  
2013 ◽  
Vol 2 ◽  
Author(s):  
Randy Schekman ◽  
Mark Patterson

It is time for the research community to rethink how the outputs of scientific research are evaluated and, as the San Francisco Declaration on Research Assessment makes clear, this should involve replacing the journal impact factor with a broad range of more meaningful approaches.

2016 ◽  
Vol 1 ◽  
Author(s):  
J. Roberto F. Arruda ◽  
Robin Champieux ◽  
Colleen Cook ◽  
Mary Ellen K. Davis ◽  
Richard Gedye ◽  
...  

A small, self-selected discussion group was convened to consider issues surrounding impact factors at the first meeting of the Open Scholarship Initiative in Fairfax, Virginia, USA, in April 2016, and focused on the uses and misuses of the Journal Impact Factor (JIF), with a particular focus on research assessment. The group’s report notes that the widespread use, or perceived use, of the JIF in research assessment processes lends the metric a degree of influence that is not justified on the basis of its validity for those purposes, and retards moves to open scholarship in a number of ways. The report concludes that indicators, including those based on citation counts, can be combined with peer review to inform research assessment, but that the JIF is not one of those indicators. It also concludes that there is already sufficient information about the shortcomings of the JIF, and that instead actions should be pursued to build broad momentum away from its use in research assessment. These actions include practical support for the San Francisco Declaration on Research Assessment (DORA) by research funders, higher education institutions, national academies, publishers and learned societies. They also include the creation of an international “metrics lab” to explore the potential of new indicators, and the wide sharing of information on this topic among stakeholders. Finally, the report acknowledges that the JIF may continue to be used as one indicator of the quality of journals, and makes recommendations how this should be improved.OSI2016 Workshop Question: Impact FactorsTracking the metrics of a more open publishing world will be key to selling “open” and encouraging broader adoption of open solutions. Will more openness mean lower impact, though (for whatever reason—less visibility, less readability, less press, etc.)? Why or why not? Perhaps more fundamentally, how useful are impact factors anyway? What are they really tracking, and what do they mean? What are the pros and cons of our current reliance on these measures? Would faculty be satisfied with an alternative system as long as it is recognized as reflecting meaningfully on the quality of their scholarship? What might such an alternative system look like?


2017 ◽  
Vol 28 (22) ◽  
pp. 2941-2944 ◽  
Author(s):  
Sandra L. Schmid

The San Francisco Declaration on Research Assessment (DORA) was penned 5 years ago to articulate best practices for how we communicate and judge our scientific contributions. In particular, it adamantly declared that Journal Impact Factor (JIF) should never be used as a surrogate measure of the quality of individual research contributions, or for hiring, promotion, or funding decisions. Since then, a heightened awareness of the damaging practice of using JIFs as a proxy for the quality of individual papers, and to assess an individual’s or institution’s accomplishments has led to changes in policy and the design and application of best practices to more accurately assess the quality and impact of our research. Herein I summarize the considerable progress made and remaining challenges that must be met to ensure a fair and meritocratic approach to research assessment and the advancement of research.


F1000Research ◽  
2021 ◽  
Vol 9 ◽  
pp. 366
Author(s):  
Ludo Waltman ◽  
Vincent A. Traag

Most scientometricians reject the use of the journal impact factor for assessing individual articles and their authors. The well-known San Francisco Declaration on Research Assessment also strongly objects against this way of using the impact factor. Arguments against the use of the impact factor at the level of individual articles are often based on statistical considerations. The skewness of journal citation distributions typically plays a central role in these arguments. We present a theoretical analysis of statistical arguments against the use of the impact factor at the level of individual articles. Our analysis shows that these arguments do not support the conclusion that the impact factor should not be used for assessing individual articles. Using computer simulations, we demonstrate that under certain conditions the number of citations an article has received is a more accurate indicator of the value of the article than the impact factor. However, under other conditions, the impact factor is a more accurate indicator. It is important to critically discuss the dominant role of the impact factor in research evaluations, but the discussion should not be based on misplaced statistical arguments. Instead, the primary focus should be on the socio-technical implications of the use of the impact factor.


F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 366
Author(s):  
Ludo Waltman ◽  
Vincent A. Traag

Most scientometricians reject the use of the journal impact factor for assessing individual articles and their authors. The well-known San Francisco Declaration on Research Assessment also strongly objects against this way of using the impact factor. Arguments against the use of the impact factor at the level of individual articles are often based on statistical considerations. The skewness of journal citation distributions typically plays a central role in these arguments. We present a theoretical analysis of statistical arguments against the use of the impact factor at the level of individual articles. Our analysis shows that these arguments do not support the conclusion that the impact factor should not be used for assessing individual articles. In fact, our computer simulations demonstrate the possibility that the impact factor is a more accurate indicator of the value of an article than the number of citations the article has received. It is important to critically discuss the dominant role of the impact factor in research evaluations, but the discussion should not be based on misplaced statistical arguments. Instead, the primary focus should be on the socio-technical implications of the use of the impact factor.


2016 ◽  
Author(s):  
Vincent Larivière ◽  
Véronique Kiermer ◽  
Catriona J. MacCallum ◽  
Marcia McNutt ◽  
Mark Patterson ◽  
...  

AbstractAlthough the Journal Impact Factor (JIF) is widely acknowledged to be a poor indicator of the quality of individual papers, it is used routinely to evaluate research and researchers. Here, we present a simple method for generating the citation distributions that underlie JIFs. Application of this straightforward protocol reveals the full extent of the skew of these distributions and the variation in citations received by published papers that is characteristic of all scientific journals. Although there are differences among journals across the spectrum of JIFs, the citation distributions overlap extensively, demonstrating that the citation performance of individual papers cannot be inferred from the JIF. We propose that this methodology be adopted by all journals as a move to greater transparency, one that should help to refocus attention on individual pieces of work and counter the inappropriate usage of JIFs during the process of research assessment.


2019 ◽  
Vol 70 (2-3) ◽  
pp. 98-110 ◽  
Author(s):  
Hadas Shema ◽  
Oliver Hahn ◽  
Athanasios Mazarakis ◽  
Isabella Peters

Abstract In the battle for better science, the research community must obliterate, at times, works from the publication record, a process known as retraction. Additionally, publications and papers accumulate an altmetric attention score, which is a complementary metric to citation-based metrics. We used the citations, Journal Impact Factor, time between publication and retraction and the reasons behind retraction in order to find determinants of the retracted papers´ altmetric attention score. To find these determinants we compared two samples, one of retractions with top altmetric attention scores and one of retractions with altmetric attention scores chosen at random. We used a binary choice model to estimate the probability of being retracted due to misconduct or error. The model shows positive effects of altmetric scores and the time between publication and retraction on the probability to be retracted due to misconduct in the top sample. We conclude that there is an association between retraction due to misconduct and higher altmetric attention scores within the top sample.


2021 ◽  
pp. 1-22
Author(s):  
Metin Orbay ◽  
Orhan Karamustafaoğlu ◽  
Ruben Miranda

This study analyzes the journal impact factor and related bibliometric indicators in Education and Educational Research (E&ER) category, highlighting the main differences among journal quartiles, using Web of Science (Social Sciences Citation Index, SSCI) as the data source. High impact journals (Q1) publish only slightly more papers than expected, which is different to other areas. The papers published in Q1 journal have greater average citations and lower uncitedness rates compared to other quartiles, although the differences among quartiles are lower than in other areas. The impact factor is only weakly negative correlated (r=-0.184) with the journal self-citation but strongly correlated with the citedness of the median journal paper (r= 0.864). Although this strong correlation exists, the impact factor is still far to be the perfect indicator for expected citations of a paper due to the high skewness of the citations distribution. This skewness was moderately correlated with the citations received by the most cited paper of the journal (r= 0.649) and the number of papers published by the journal (r= 0.484), but no important differences by journal quartiles were observed. In the period 2013–2018, the average journal impact factor in the E&ER has increased largely from 0.908 to 1.638, which is justified by the field growth but also by the increase in international collaboration and the share of papers published in open access. Despite their inherent limitations, the use of impact factors and related indicators is a starting point for introducing the use of bibliometric tools for objective and consistent assessment of researcher.


2020 ◽  
Vol 13 (3) ◽  
pp. 328-333
Author(s):  
Sven Kepes ◽  
George C. Banks ◽  
Sheila K. Keener

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