Open access · Peer reviewed · No APCs
Research ArticleJournal of Scientometric ResearchVol. 11 | Issue 1 | 2022 | pp. 47–54Open access
Evaluation of the Dynamics of Large Scale COVID-19 Related Literature through Bibliometric Analysis from a Mathematical Standpoint
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- 1 Apollo Multispeciality Hospitals, Kolkata, West Bengal, INDIA.
- 2 GLA University, Mathura, Uttar Pradesh, INDIA.
- 3 Manipal Hospitals, Dwarka, New Delhi, INDIA.
- 4 International Institute of Information Technology, Hyderabad, Telangana, INDIA.
- 5 Apollo Proton Cancer Center, Chennai, Tamilnadu, INDIA.
- 6 Patient Information Centre, Kolkata, West Bengal, INDIA.
- 7 Fortis Memorial Research Institute, Gurgaon Haryana, INDIA.
- 8 Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, INDIA.
Published in Journal of Scientometric Research
Correspondence: Biplab Sarkar
Apollo Multispeciality Hospitals, Kolkata, West Bengal, INDIA.; GLA University, Mathura, Uttar Pradesh, INDIA.
Email: biplabphy@gmail.com
Copyright: © 2022 Manuscript Technomedia. This is an open access article.
- Published:
- May 1, 2022
- Received:
- May 30, 2021
- Accepted:
- Jun 20, 2022
How to cite
Sarkar, B., Munshi, A., Ghosh, B., Ganesh, T., Manikandan, A., Biswal, S. S., Shahid, T., Bhaskar, R., Sengupta, S., Chowdhury, S. R., Bhattacharya, J., Gazi, M., De, A., George, K., Ghosh, T., Akhtar, J., Mandal, S., Mukherjee, M., Gupta, R., … Mohanti, B. K. (2022). Evaluation of the Dynamics of Large Scale COVID-19 Related Literature through Bibliometric Analysis from a Mathematical Standpoint. Journal of Scientometric Research, 11(1), 47–54. https://doi.org/10.5530/jscires.11.1.5
Abstract
This study aims to analyze the dynamics of the published articles and preprints of Covid-19 related literature from different scientific databases and sharing platforms. The PubMed, ScienceDirect, and ResearchGate (RG) databases were under consideration in this study over a specific time. Analyses were carried out on the number of publications as (a) function of time (day), (b) journals and (c) authors. Doubling time of the number of publications was analyzed for PubMed “all articles” and ScienceDirect published articles. Analyzed databases were (1A) PubMed (01/12/2019-12/06/2020) “all_articles” (1B) PubMed Review articles) and (1C) PubMed Clinical Trials (2) ScienceDirect all publications (01/12/2019- 25/05/2020) (3) RG (Article, Pre Print, Technical Report) (15/04/2020 – 30/4/2020). Total publications in the observation period for PubMed, ScienceDirect, and RG were 23000, 5898 and 5393 respectively. The average number of publications/day for PubMed, ScienceDirect and RG were 70.0 ±128.6, 77.6±125.3 and 255.6±205.8 respectively. PubMed shows an avalanche in the number of publications around May 10, the number of publications jumped from 6.0±8.4/day to 282.5±110.3/ day. The average doubling time for PubMed, ScienceDirect, and RG was 10.3±4 days, 20.6 days, and 2.3±2.0 days respectively. The average number of publications per author for PubMed, ScienceDirect, and RG was 1.2±1.4, 1.3±0.9, and 1.1±0.4 respectively. Subgroup analysis, PubMed review articles mean review <0|17±17|77> days; and reducing at a rate of -0.21 days (count)/day. The number of publications related to the COVID-19 until now is huge and growing very fast with time. It is essential to rationalize and limit the publications.
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Article metadata
| Title | Evaluation of the Dynamics of Large Scale COVID-19 Related Literature through Bibliometric Analysis from a Mathematical Standpoint |
|---|---|
| Authors | Biplab Sarkar; Anusheel Munshi; Bhaswar Ghosh; Tharmarnadar Ganesh; Arjunan Manikandan; Subhra Snigdha Biswal; Tanweer Shahid; Rajagopalan Bhaskar; Sinjini Sengupta; Sandipan Roy Chowdhury; Jibak Bhattacharya; Mahasin Gazi; Arundhati De; Kirubha George; Tanmoy Ghosh; Jawed Akhtar; Sourav Mandal; Mukti Mukherjee; Rosalima Gupta; Soumya Roy; Kanan Jassal; Suchanda Goswami; Suparna Ghosh; Prasenjit Chatterjee; Litan Naha Biswas; Syamasis Bandyopadhyay; Anirudh Pradhan; Bidhu Kalyan Mohanti |
| Affiliations | Apollo Multispeciality Hospitals, Kolkata, West Bengal, INDIA.; GLA University, Mathura, Uttar Pradesh, INDIA.; Manipal Hospitals, Dwarka, New Delhi, INDIA.; International Institute of Information Technology, Hyderabad, Telangana, INDIA.; Apollo Proton Cancer Center, Chennai, Tamilnadu, INDIA.; Patient Information Centre, Kolkata, West Bengal, INDIA.; Fortis Memorial Research Institute, Gurgaon Haryana, INDIA.; Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, INDIA. |
| Corresponding author | biplabphy@gmail.com |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 11, Issue 1 (2022) |
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- Stress and Machine Learning-Future with Possibilities: A Bibliometric Approachpp. 37–46
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