Evidence map›Paper›PMID 37648684›Full record

ArticleScientific reports2023

Relationship between bibliometric indicators and university ranking positions.

Péter Szluka, Edit Csajbók, Balázs Győrffy

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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

3 authors.

Péter SzlukaCentral Library, Semmelweis University, 1088, Budapest, Hungary.ORCID http://orcid.org/0000-0003-1270-6118
Edit CsajbókCentral Library, Semmelweis University, 1088, Budapest, Hungary.ORCID http://orcid.org/0000-0002-1440-7501
Balázs GyőrffyDepartment of Bioinformatics, Semmelweis University, Tűzoltó Utca 7-9, 1094, Budapest, Hungary. gyorffy.balazs@med.semmelweis-univ.hu.ORCID http://orcid.org/0000-0002-5772-3766

Funding

National Research, Development and Innovation Office PharmaLab, RRF-2.3.1-21-2022-00015
6 · The paper itself

Abstract

A growing interest for demonstrating prestige and status of higher education institutions has spurred the establishment of several international ranking systems. A major percentage of these rankings include parameters related to scientific productivity. Here, we examined the differences between diverse rankings as well as correlation with bibliometric parameters and disciplines for the top universities. We investigated the top 300 universities from four international rankings, the Times Higher Education World University Ranking (THE), the QS World University Rankings (QS) the ShanghaiRanking-Academic Ranking of World Universities (ARWU) and the U.S.News Best Global Universities Ranking (USNews). The assessed parameters include ranking positions, size related and bibliometrics-related indicators of each selected ranking. The weight of scientometric parameters ranges between 20% (QS) and 75% (USNews). The most important parameters defining ranking positions include citations, international reputation, and the number of researchers, but the correlation strength varies among ranking systems. The absolute number of publications and citations are particularly important in ARWU and USNews rankings, and scientific category normalized (field weighted) citation impact is central in THE and USNews rankings. Our results confirm that universities having outstanding results in rankings using size-independent indicators (QS and THE) compared to others have significantly lower number of students. High impact research can improve position in ARWU and USNews ranking lists. Regarding to different disciplines, the main results show that outstanding universities in THE ranking have higher publication activity in social sciences and universities which perform better in USNews and QS ranking have more publications in science, technology, and medicine fields and lower score in social sciences. In brief, here we present a comprehensive analysis of the correlation between scientometric parameters and university ranking positions, as well as the performance of outstanding universities and their correlation with different disciplines, to help decision makers select parameters for strengthening and to attract the interest of prospective students and their parents via a better understanding of the functions of different ranks.

Identifiers

PMID37648684
PMCPMC10468493

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.