Evidence map›Paper›PMID 32499046›Full record

ArticleBrazilian journal of anesthesiology (Elsevier)

[A bibliometric analysis of the field of anesthesia during 2009-2018].

Güvenç Doğan, Onur Karaca

Abstract read
In one paragraph

Article in Brazilian journal of anesthesiology (Elsevier). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

2 authors.

Güvenç DoğanHitit University, Faculty of Medicine, Department of Anesthesiology and Reanimation, Çorum, Turquia. Electronic address: guvencdogan@gmail.com.
Onur KaracaAksaray University, Faculty of Medicine, Department of Anesthesiology and Reanimation, Aksaray, Turquia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe limited number of bibliometric studies in the literature have generally focused on the top-cited studies in the field of anesthesia, however, there is a lack of studies that made a holistic bibliometric evaluation of these works. The purpose of this study is to make a contemporary summary of the articles published in the field of anesthesia within the last 10 years through detailed bibliometric methods.

methodsThe articles published between the years 2009 and 2018 were downloaded from the Web of Science (WoS) database and analyzed using bibliometric methods. The literature review was conducted using the keyword "Anesthesiology" in the "Research Area" category via the advanced search option available in WoS. The relation between the number of publications of the countries and the Gross Domestic Products and Human Development Index values were analyzed using Spearman's correlation coefficient. The number of articles between the years 2019 and 2021 was estimated through linear regression analysis.

resultsA review of the literature indicated 41,003 articles in the Web of Science database. Estimations included 4,910 (3,971-5,849) articles for the year 2019. There was a high-level, positive significant correlation between the number of publications and Gross Domestic Product (r=0.776, p<0.001).

conclusionThe findings show that countries with high income are effective in the field of anesthesia, which indicates a strong association between research productivity and economic development. Undeveloped and developing countries should be encouraged to conduct research in the field of anesthesia.

Indexed as

AnesthesiaBibliometricsPublishingTime FactorsAnalgesiaAnestesiaAnesthesiaBibliometriaBibliometricsCientometriaScientometrics

Identifiers

PMID32499046
PMCPMC9373632

What OpenQuestion holds

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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.