Evidence map›Paper›PMID 34229370›Full record

ArticleAnnals of geriatric medicine and research2021

A Bibliometric Analysis of Publications on COVID-19 and Older Adults.

Rabia Bag Soytas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of geriatric medicine and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  15. A Bibliometric Analysis on Global Psychological and Behavioral Research Landscape on COVID-19 Pandemic.International journal of environmental research and public health · 2022
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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

1 author.

Rabia Bag SoytasDivision of Geriatrics, Department of Internal Medicine, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBibliometric analysis is important for guiding future research priorities. We evaluated the most relevant scientific research on coronavirus disease 2019 (COVID-19) and older adults, analyzed current hot topics, and identified the 50 most cited publications.

methodsArticles published between December 2019 and March 17, 2021 were identified using the search terms "COVID-19" or "Novel Coronavirus" or "SARS-CoV-2" or "2019-nCoV" and "geriatrics" or "older adults" or "elderly" appearing in the title, abstract, keywords, or keywords plus. Original research articles, reviews, editorial materials, and letters were included. Information on articles year, journal, title, author, country, affiliation, keywords, document type, and counts of citations was collected. VOSviewer was used to analyze keywords.

resultsA total of 784 publications were included. The most common keywords were "COVID-19" and "older adults," which were strongly related to "social isolation," "dementia," "mortality," and "loneliness." The most active (40.8%) and most cited (1,578) country was the United States. The Journal of the American Geriatric Society had the largest number of publications (22.7%) and citations (947). The most researched (84.0%) and most cited areas were geriatrics-gerontology (2,882). The median number of citations for the most cited 50 articles was 46.8.

conclusionThe results of the bibliometric analysis provided information about the quality and research areas of published studies on COVID-19 and older adults. Social and psychological support, nutrition, vaccines, and telemedicine may be hot research topics for the future.

Indexed as

BibliometricsCOVID-19GeriatricsOlder adultsWeb of Science

Identifiers

PMID34229370
PMCPMC8497949

What OpenQuestion holds

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LicenceCC BY-NC
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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.