Pnömoni Makalelerinin Bibliyometrik Analizi

Year 2022, Volume: 7 Issue: 3, 392 - 404, 20.10.2022

Pınar Birliker , Ayşe Seval Palteki , Muhammed Hamdi Öz , Aysima Aslancirit , Nihat Can Binici , Osman Hayran

https://doi.org/10.35232/estudamhsd.1029892

Abstract

Alt solunum yolu enfeksiyonları dünyadaki başlıca ölüm sebeplerinden biridir. COVID-19 pandemisinde pnömoni solunum yolu hastalıkları arasında öne çıkmıştır. Bu çalışmada COVID-19 pandemisini de kapsayan 2016-2020 yılları arasındaki dönemde, Web of Science (WoS) veri tabanında yer alan, pnömoni makalelerinin özelliklerinin incelenmesi amaçlandı. WoS veritabanında 2016-2020 yılları arasındaki literatür “pnömoni” anahtar kelimesi kullanılarak taranıp, makaleler "Science Citation Index Expanded" ile sınırlandırılarak, kriterleri karşılayan 24.896 makaleye ulaşıldı. İndirilen veriler, Python programı vasıtasıyla tasnif edildi. Verilerin görselleştirilmesinde MS Excel, Python, MS Power BI programları ve Flourish web sitesi kullanıldı. Bu çalışmayla beraber pnömoni hakkında yapılan çalışma sayısı 2016-2019 yılları arasında stabil bir şekilde seyrederken bu sayının 2020 yılında belirgin oranda arttığı gözlemlendi. Bu orandaki belirgin artışa neden olan ülkelerin de ABD ve Çin olduğu görüldü. Tüm makalelerin beşte birinden fazlası ülkeler arası iş birliğiyle yazıldı. Bu bibliyometrik analizle COVID-19’un pnömoni araştırmaları üzerindeki etkisinin büyüklüğü sayısal olarak gösterilmiş oldu.

Keywords

Pnömoni, Bibliyometrik Analiz, COVID-19, SARS-CoV-2

A BIBLIOMETRIC ANALYSIS OF PNEUMONIA ARTICLES (2016-2020)

Abstract

Lower respiratory infections are one of the leading factors of death in the world. During the COVID-19 pandemic, pneumonia comes to the fore from respiratory diseases. We aim to close the information gap regarding the characteristics of pneumonia articles published between the years 2016 and 2020 and indexed in the Web of Science (WoS) database by bibliometric analysis. We collected the data for this study from the articles published in the WoS, from 2016 to 2020 by using “pneumonia” as the keyword. Articles were found among the "Science Citation Index Expanded" of the WoS advanced search engine and 24,896 articles that met the criteria were included. MS Excel, Python, MS Power BI, and Flourish website were used for data extraction and visualization.This bibliometric analysis showed that while the number of articles published regarding pneumonia was more stable between 2016 and 2019 it has increased dramatically in 2020. It was seen that the countries that caused this significant increase were the United States of America and China. More than one-fifth of all articles were written in cross-country collaboration. The magnitude of the impact of COVID-19 on pneumonia research has been numerically demonstrated by this bibliometric analysis.

Keywords

Pneumonia, Bibliometric analysis, COVID-19, SARS-CoV-2

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