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ArticleEuropean radiology2024

The 100 most-cited and 100 most-mentioned COVID-19-related radiological articles: a comparative bibliometric analysis.

Jiyeon Ha, Dae Young Yoon, Sora Baek, Chae Woon Lee, Kyoung Ja Lim, Young Lan Seo, Eun Joo Yun

Abstract read
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In one paragraph

Article in European radiology, 2024. 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

7 authors.

Jiyeon HaDepartment of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150, Seongan-Ro, Gangdong-Gu, Seoul, 05355, Republic of Korea.
Dae Young Yoon *Department of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150, Seongan-Ro, Gangdong-Gu, Seoul, 05355, Republic of Korea. evee0914@chollian.net.ORCID http://orcid.org/0000-0003-1522-0236
Sora Baek *Department of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150, Seongan-Ro, Gangdong-Gu, Seoul, 05355, Republic of Korea. sorab0625@gmail.com.
Chae Woon LeeDepartment of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150, Seongan-Ro, Gangdong-Gu, Seoul, 05355, Republic of Korea.
Kyoung Ja LimDepartment of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150, Seongan-Ro, Gangdong-Gu, Seoul, 05355, Republic of Korea.
Young Lan SeoDepartment of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150, Seongan-Ro, Gangdong-Gu, Seoul, 05355, Republic of Korea.
Eun Joo YunDepartment of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150, Seongan-Ro, Gangdong-Gu, Seoul, 05355, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to identify the 100 most-cited and 100 most-mentioned coronavirus disease-2019 (COVID-19)-related radiological articles and compare their characteristics. MATERIALS AND

methodsWe searched the Web of Science and Altmetric.com using the search terms "COVID," "COVID-19," "Coronavirus," "SARS-CoV-2," "nCoV," and "pandemic" to identify the most-cited and most-mentioned COVID-19-related articles. We identified the top 100 most-cited and 100 most-mentioned articles in the field of radiology, regardless of their publication journal. We extracted the information from the listed articles and compared the characteristics between the most-cited and most-mentioned.

resultsThirty (30%) articles were featured in the lists of the most-cited and most-mentioned articles. The comparison of the 100 most-cited and most-mentioned articles on each list showed that the most frequently cited articles were published in November 2020 and before (p < .001), originated from China (p < .001), covered the topic of diagnosis of COVID-19 (p < .001), and were related to the subspecialty of pulmonary imaging (p < .001); the most frequently mentioned articles were published in December 2020 and after (p < .001), originated from the USA (p < .001), covered the topic of diagnosis of sequelae of COVID-19 (p = .013) and post-vaccination complications (p < .001), and were related to the subspecialties of cardiac imaging (p < .001) and neuroradiology (p < .013).

conclusionSignificant differences were observed in publication date, country of origin, topic, and subspecialty of scientific knowledge related to COVID-19 in the field of radiology, between citation and public dissemination. CLINICAL RELEVANCE STATEMENT: This bibliometric analysis compares the 100 most-cited and 100 most-mentioned COVID-19-related radiologic articles, aiming to provide valuable insights into the patterns of knowledge dissemination during the pandemic era. KEY POINTS: • Thirty articles were featured on the lists of the 100 most-cited and 100 most-mentioned COVID-19-related articles. • The 70 unique most-cited articles more frequently originated from China (48.6%), while the unique most-mentioned articles more frequently originated from the USA (51.4%) (p < 0.001). • The 70 unique most-mentioned articles were more frequently related to cardiac imaging (25.7% vs.0%, p < 0.001) and neuroradiology (15.7% vs. 1.4%, p < 0.005) compared to the unique most-mentioned articles.

Indexed as

COVID-19RadiologyBibliometricsHumansRadiographySARS-CoV-2BibliometricsCOVID-19PublicationsRadiologyResearch

Identifiers

What OpenQuestion holds

Textmetadata
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.