Evidence map›Paper›PMID 33380884›Full record

ArticleBiochemia medica2021

Evaluation of articles in metabolism research on the basis of their citations.

Yi Xiang Zhan, D'arcy Turner, Daniela Tritz, Kelly Natarajan, Mo Som, Matt Vassar

Abstract readEvaluation Study
In one paragraph

Article in Biochemia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yi Xiang ZhanDepartment of Research, Kansas City University of Medicine and Biosciences, Kansas City, USA.
D'arcy TurnerDepartment of Research, Kansas City University of Medicine and Biosciences, Kansas City, USA.
Daniela TritzDepartment of Psychiatry and Behavioral Sciences, Oklahoma State University, Tulsa, USA.
Kelly NatarajanDepartment of Psychiatry and Behavioral Sciences, Oklahoma State University, Tulsa, USA.
Mo SomDepartment of Psychiatry and Behavioral Sciences, Oklahoma State University, Tulsa, USA.
Matt VassarDepartment of Psychiatry and Behavioral Sciences, Oklahoma State University, Tulsa, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe number of research papers and journals each year is increasing and millions of dollars are spent. Despite this there is evidence to suggest that many publications do not impact clinical practice. We used citation analysis to measure the influence of metabolism publications from 2003-2013. Those papers with lower citation rates are likely to be of the least value and high rates of such publications may be a marker of research waste. MATERIALS AND

methodsWe analysed 67 journals with 81,954 articles related to metabolism indexed on the Scopus station database from 2003-2013. We identified those articles with less than 5 citations within 5 years from publication date as poorly cited. Journals were ranked by the percentage of articles that were poorly cited or uncited.

resultsOver the 10-year period, the number of total articles increased by 127%. We found that 24% of articles were poorly cited within 5 years of publication. Journals in the bottom 25% and top 25% of rankings by citation rates accounted for a similar proportion of poorly cited articles. Most of the open access journals were ranked in the top 25% for citation rates.

conclusionsOur analysis contradicts concerns over increasing amounts of publications with little impact. The proportion of poorly cited articles are low, with little change in the trend over 10 years. The top and bottom ranked journals produced similar proportions of poorly cited articles. These findings suggest the necessity of pursuing further research to study waste in metabolism research.

Indexed as

Biomedical ResearchMetabolismBibliometricsPeriodicals as Topicbibliometricscitationmetabolismresearch wasteScopus

Identifiers

PMID33380884
PMCPMC7745158

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.