Evidence map›Paper›PMID 37521446›Full record

ArticleJournal of librarianship and information science2023

An investigation of emerging COVID-19 research trends and future implications for LIS field: A bibliometric mapping and visualization.

Arslan Sheikh, Nadeem Siddique, Saima Qutab, Muhammad Ajmal Khan, Khalid Mahmood

Open access · bronzeAbstract read
In one paragraph

Article in Journal of librarianship and information science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

0 citing papers in PubMed, 15 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 5 institutions in 3 countries.

Arslan SheikhCOMSATS University Islamabad, Pakistan.ORCID https://orcid.org/0000-0003-2661-6383
Nadeem SiddiqueLahore University of Management Sciences, Pakistan.
Saima QutabUniversity of Auckland, New Zealand.
Muhammad Ajmal KhanImam Abdulrehman Bin Faisal University, Saudi Arabia.ORCID https://orcid.org/0000-0003-0069-6311
Khalid MahmoodUniversity of the Punjab, Pakistan.
COMSATS University Islamabad · PKImam Abdulrahman Bin Faisal University · SALahore University of Management Sciences · PKUniversity of Auckland · NZUniversity of the Punjab · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 epidemic has proved a nightmare for human beings living all across the globe. It has severely affected all segments of human life. Consequently, enormous research has been conducted to assess and counter this global pandemic. This study reports finding of a bibliometric analysis on COVID-19 related literature published in the Library and Information Science journals, to identify current research trends and to suggest future directions for further research. It reveals a substantial increase in LIS publications on COVID-19 in the year 2020. The findings of the study are presented in two sections: first, the research productivity analysis provides an overview of the prominent authors, sources, institutions, and countries that published about COVID-19 in the LIS field. The second section offers a co-word thematic analysis of the significant emerging themes that provide an insight into current challenges faced by libraries and suggest future trends for research and practice in post-COVID era. The study exposes 5 major research themes and 11 sub-themes.

Indexed as

Bibliometricscorona-virusesCOVID-19global pandemiclibrary and information science researchresearch productivity

Identifiers

PMID37521446
PMCPMC9988614
OpenAlexW3209072985

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.