Evidence map›Paper›PMID 32411751›Full record

ArticleAnnals of translational medicine2020

COVID-19 will stimulate a new coronavirus research breakthrough: a 20-year bibliometric analysis.

Zhengbo Tao, Siming Zhou, Renqi Yao, Kaicheng Wen, Wacili Da, Yan Meng, Keda Yang, Hang Liu, Lin Tao

Abstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
–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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. A Bibliometric Analysis on Global Psychological and Behavioral Research Landscape on COVID-19 Pandemic.International journal of environmental research and public health · 2022
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

9 authors.

Zhengbo TaoDepartment of Orthopaedics, First Hospital of China Medical University, Shenyang 110001, China.
Siming ZhouDepartment of Orthopaedics, First Hospital of China Medical University, Shenyang 110001, China.
Renqi YaoTrauma Research Center, Fourth Medical Center of the Chinese PLA General Hospital, Beijing 100048, China.
Kaicheng WenDepartment of Orthopaedics, First Hospital of China Medical University, Shenyang 110001, China.
Wacili DaDepartment of Orthopaedics, First Hospital of China Medical University, Shenyang 110001, China.
Yan MengDepartment of Orthopaedics, First Hospital of China Medical University, Shenyang 110001, China.
Keda YangDepartment of Orthopaedics, First Hospital of China Medical University, Shenyang 110001, China.
Hang LiuRagon Institute of Massachusetts General Hospital, MIT and Harvard University, Boston, USA.
Lin TaoDepartment of Orthopaedics, First Hospital of China Medical University, Shenyang 110001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is currently rampant in China, causing unpredictable harm to humans. This study aimed to quantitatively and qualitatively investigate the research trends on coronaviruses using bibliometric analysis to identify new prevention strategies.

methodsAll relevant publications on coronaviruses were extracted from 2000-2020 from the Web of Science database. An online analysis platform of literature metrology, bibliographic item co-occurrence matrix builder (BICOMB) and CiteSpace software were used to analyse the publication trends. VOSviewer was used to analyse the keywords and research hotspots and compare COVID-19 information with SARS and MERS information.

resultsWe found a total of 9,760 publications related to coronaviruses published from 2000 to 2020. The

conclusionsWe considered the publication information regarding different countries, institutions, authors, journals, etc. by summarizing the literature on coronaviruses over the past 20 years. We analysed the studies on COVID-19 and the SARS and MERS coronaviruses. Notably, COVID-19 must become the research hotspot of coronavirus research, and clinical research on COVID-19 may be the key to defeating this epidemic.

Indexed as

bibliometric analysisCoronavirusCOVID-19keywordsresearch hotspots

Identifiers

PMID32411751
PMCPMC7214912

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.