Evidence map›Paper›PMID 36348932›Full record

ArticleCureus2022

An Analysis of the 50 Most-Cited "Uveitis" Articles Published Between 2010-2020 From a Bibliographic and Altmetric Perspective.

Hidayet Sener, Cem Evereklioglu, Fatih Horozoglu

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Hidayet SenerDepartment of Ophthalmology, Erciyes University School of Medicine, Kayseri, TUR.
Cem EverekliogluDepartment of Ophthalmology, Erciyes University School of Medicine, Kayseri, TUR.
Fatih HorozogluDepartment of Ophthalmology, Erciyes University School of Medicine, Kayseri, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose We aimed to evaluate the 50 most-cited articles on uveitis according to their Altmetric Attention Score (AAS) and additional metrics. Methods The Web of Science (WoS) core collection database was used in this study. The article and journal metrics and characteristics were examined. In addition, the effect of article and journal metrics on the AAS was examined with multivariate adaptive regression splines (MARS). Results The number of citations of the evaluated articles ranged from 670 to 90, and AASs ranged from 633 to 0. According to the MARS model, the importance scores of the predictors were as follows: article influence score (100%), immediacy index (77.74%), number of years since publication (57.79%), times cited in WoS (32.69%). We found that the trend of articles on uveitis was related to the "treatment category", namely, adalimumab. Second, the popular topic was uveitis caused by viruses. Conclusions We found that citation-based metrics and year of publication contributed to AAS. AAS appears to be inadequate in assessing the quality of articles. However, due to the electronic transformation of the publishing industry, it seems inevitable that altmetrics will become an additional supportive metric.

Indexed as

altmetriceigenfactorimmediacy indeximpactocular inflammationuveitis

Identifiers

PMID36348932
PMCPMC9634141

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.