Evidence map›Paper›PMID 36458082›Full record

ArticleIndian journal of psychiatry

Suicide and suicidal ideation in the times of the Covid-19 pandemic: A scientometric analysis.

Rajat Jagdish Palod, Mahika Milind Joshi, Rupali Kumar, Virendra Siddharam Ligade

Abstract read
In one paragraph

Article in Indian journal of psychiatry. 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
–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

0 citing papers in PubMed.

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

4 authors.

Rajat Jagdish PalodManipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Mahika Milind JoshiManipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Rupali KumarManipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Virendra Siddharam LigadeManipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The article aims to explore the studies performed on suicide because of coronavirus disease 19 through a bibliometric analysis. A quantitative analysis of the topic furnishes data on the publication pattern, influential research journals, highly cited articles, productive countries and organizations, the authorship pattern, and the collaborative pattern between authors. Methods: Data regarding the type of documents, most cited articles, influential research journals, contributions per country, and so on were extracted for the study from the Scopus database. Data analysis and visualization were performed through R-Studio and the VOSviewer application. Results: A bibliometric analysis encompassing scientific contributions based on suicide or suicide-related ideation because of the coronavirus pandemic showed a total of 494 documents published in 230 journals/books. The articles published by proficient authors in reputed journals highlighted the key areas of research in the field. USA dominated the list of scientific production of countries contributing to 340 documents. Conclusion: The results provided by this analysis could act as a steppingstone for experts to design a roadmap for mental health research during the pandemic. Studies can be designed to gather information on mental health conditions across specific age groups. Research collaborations that facilitate the publication of pooled protocols and data are encouraged.

Indexed as

Anxietybibliometric analysiscoronavirusdepressionmental health

Identifiers

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LicenceCC BY-NC-SA
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Registered trials

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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.