Requiem for impact factors and high publication charges is a research paper published in Accountability in Research (2021). On theSindex it has a DataRank of 0.542. It has been cited 36 times.
Journal impact factors, publication charges and assessment of quality and accuracy of scientific research are critical for researchers, managers, funders, policy makers, and society. Editors and publishers compete for impact factor rankings, to demonstrate how important their journals are, and researchers strive to publish in perceived top journals, despite high publication and access charges. This raises questions of how top journals are identified, whether assessments of impacts are accurate and whether high publication charges borne by the research community are justified, bearing in mind that they also collectively provide free peer-review to the publishers. Although traditional journals accelerated peer review and publication during the COVID-19 pandemic, preprint servers made a greater impact with over 30,000 open access articles becoming available and accelerating a trend already seen in other fields of research. We review and comment on the advantages and disadvantages of a range of assessment methods and the way in which they are used by researchers, managers, employers and publishers. We argue that new approaches to assessment are required to provide a realistic and comprehensive measure of the value of research and journals and we support open access publishing at a modest, affordable price to benefit research producers and consumers.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.542
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.