{"title":"围产期感染前100篇被引文章的替代分析法分析","authors":"Deniz Borcak, H. Bulut","doi":"10.14235/bas.galenos.2022.50479","DOIUrl":null,"url":null,"abstract":"ÖZ Objective: Pregnant women and their fetuses are at increased risk of complications of viral, bacterial, and parasitic infections. For most infections, effective preventive strategies are available. Scientific studies on perinatal infections show advances in this field. The primary objective of this study was to evaluate the social attention paid to highly cited articles on perinatal infection in the last decade. Factors of altmetrics performance, including twitter mentions and the correlation between altmetrics and traditional citation counts were analyzed. Methods: We created the 100 top-cited articles (T100) list from the Web of Science database and altmetric.com website among 4,240 perinatal infection articles. Results: The most cited article “Clinical analysis of 10 neonates born to mothers with 2019-nCoV pneumonia” by Zhu H. published in the Translational Pediatrics Journal. The T100 list included 75 original scientific research publications and 25 review articles. On Twitter, 80 of the T100 articles were shared. Of the ten most tweeted articles, five were about 2019-nCoV, four were about Hepatitis B virus, and one was about Zikavirus. The number of AAS, average citations, and the number of tweets (NT) increased statistically significantly as the years increased. A statistically significant and strong correlation was found between AAS and the number of tweets. Conclusion: This study reflects the most influential publications to identify the trends of current studies and provides some directions","PeriodicalId":8757,"journal":{"name":"Bezmialem Science","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Altmetric Analysis of Top 100 Cited Articles on Perinatal Infection\",\"authors\":\"Deniz Borcak, H. Bulut\",\"doi\":\"10.14235/bas.galenos.2022.50479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ÖZ Objective: Pregnant women and their fetuses are at increased risk of complications of viral, bacterial, and parasitic infections. For most infections, effective preventive strategies are available. Scientific studies on perinatal infections show advances in this field. The primary objective of this study was to evaluate the social attention paid to highly cited articles on perinatal infection in the last decade. Factors of altmetrics performance, including twitter mentions and the correlation between altmetrics and traditional citation counts were analyzed. Methods: We created the 100 top-cited articles (T100) list from the Web of Science database and altmetric.com website among 4,240 perinatal infection articles. Results: The most cited article “Clinical analysis of 10 neonates born to mothers with 2019-nCoV pneumonia” by Zhu H. published in the Translational Pediatrics Journal. The T100 list included 75 original scientific research publications and 25 review articles. On Twitter, 80 of the T100 articles were shared. Of the ten most tweeted articles, five were about 2019-nCoV, four were about Hepatitis B virus, and one was about Zikavirus. The number of AAS, average citations, and the number of tweets (NT) increased statistically significantly as the years increased. A statistically significant and strong correlation was found between AAS and the number of tweets. Conclusion: This study reflects the most influential publications to identify the trends of current studies and provides some directions\",\"PeriodicalId\":8757,\"journal\":{\"name\":\"Bezmialem Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2023-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bezmialem Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14235/bas.galenos.2022.50479\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bezmialem Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14235/bas.galenos.2022.50479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
An Altmetric Analysis of Top 100 Cited Articles on Perinatal Infection
ÖZ Objective: Pregnant women and their fetuses are at increased risk of complications of viral, bacterial, and parasitic infections. For most infections, effective preventive strategies are available. Scientific studies on perinatal infections show advances in this field. The primary objective of this study was to evaluate the social attention paid to highly cited articles on perinatal infection in the last decade. Factors of altmetrics performance, including twitter mentions and the correlation between altmetrics and traditional citation counts were analyzed. Methods: We created the 100 top-cited articles (T100) list from the Web of Science database and altmetric.com website among 4,240 perinatal infection articles. Results: The most cited article “Clinical analysis of 10 neonates born to mothers with 2019-nCoV pneumonia” by Zhu H. published in the Translational Pediatrics Journal. The T100 list included 75 original scientific research publications and 25 review articles. On Twitter, 80 of the T100 articles were shared. Of the ten most tweeted articles, five were about 2019-nCoV, four were about Hepatitis B virus, and one was about Zikavirus. The number of AAS, average citations, and the number of tweets (NT) increased statistically significantly as the years increased. A statistically significant and strong correlation was found between AAS and the number of tweets. Conclusion: This study reflects the most influential publications to identify the trends of current studies and provides some directions