Evidence map›Paper›PMID 34186371›Full record

ArticleDiabetes & metabolic syndrome

Top 50 cited articles on Covid-19 after the first year of the pandemic: A bibliometric analysis.

Srinivas B S Kambhampati, Nagashree Vasudeva, Raju Vaishya, Mohit Kumar Patralekh

Abstract read
In one paragraph

Article in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

4 authors.

Srinivas B S KambhampatiSri Dhaatri Orthopaedic, Maternity & Gynaecology Center, 23, Lane 2, SKDGOC, Vijayawada, Andhra Pradesh, 520008, India. Electronic address: kbssrinivas@gmail.com.
Nagashree VasudevaSri Dhaatri Orthopaedic, Maternity & Gynaecology Center, 23, Lane 2, SKDGOC, Vijayawada, Andhra Pradesh, 520008, India. Electronic address: drnagashreev@gmail.com.
Raju VaishyaIndraprastha Apollo Hospitals, New Delhi, India. Electronic address: raju.vaishya@gmail.com.
Mohit Kumar PatralekhSafdarjung Hospital and Vardhman Mahavir Medical College, New Delhi, 110029, India. Electronic address: mohitkumarpatralekh@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsIt has been just over a year since the Covid-19 pandemic started. The top 50 cited articles on this subject would help identify trends and focus on the research efforts.

methodsWe utilised e-utilities in PubMed to find publications on Covid-19 until the date of search on 7/2/21. The iCite website was used to find the top 50 citations of the output from the search strategy. We looked into their full text for the editorial dates, type of study, level of evidence, focus of the article and country of origin. We also counted the errata and comments on each of them.

resultsThe total number of citations of all 50 articles was 123,960, the highest being 10, 754 for a single article. Huang C was the most cited first author. They were published from week 4-17, with February being the month with most citations. Lancet was the most cited journal, having published 9 of the 50 articles. Majority belonged to level 3 of the evidence ladder and were retrospective studies. Thirty percent of them had an errata published and an average of 7 comments per article.

conclusionThe top 50 most cited articles identify the most impactful studies on Covid-19, providing a resource to educators while identifying trends to guide research and publishing efforts. There has been an explosion of publications and an unprecedented rate and number of citations within the first year for any single condition in the literature.

Indexed as

BibliometricsCOVID-19HumansJournal Impact FactorPublicationsSARS-CoV-2BibliometricsCovid-19 publicationsPubmed covid-19 publicationsTop 50 citations

Identifiers

PMID34186371
PMCPMC8744451

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.