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The top-100 cited articles on biomarkers in the depression field: a bibliometric analysis.

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Title: The top-100 cited articles on biomarkers in the depression field: a bibliometric analysis.
Authors: Shi, Shuzhen, Gao, Ya, Sun, Yue, Liu, Ming, Shao, Lihua, Zhang, Junhua, Tian, Jinhui
Source: Psychology, Health & Medicine. Jun2021, Vol. 26 Issue 5, p533-542. 10p. 1 Color Photograph, 3 Charts, 5 Graphs.
Subjects: Biomarkers, Developed countries, Bibliometrics, Citation analysis, Mental depression, Periodical articles, Developing countries, National Institute of Mental Health (U.S.), Impact factor (Citation analysis)
Geographic Terms: United States
Abstract: This paper aimed to explore the characteristics of the top-100 cited articles on the biomarkers in the depression field and strive to find the future trend. The top-100 cited articles were selected from the Web of Science Core Collection database. Excel 2016 and VOSviewer 1.6.9 were used to analyze the information. Forty-six journals contributed to these 100 articles, and Biological Psychiatry published the largest number of articles (n = 18). Holsboer F (n = 4) contributed the most, and Maes M (n = 118) was the most co-cited author. Twenty-six countries and 220 organizations contributed to the top-100 articles, respectively. The USA (n = 48) was the main contributor. NIMH and Kings Coll London both participated in seven articles. Major depression (n = 62), depression (n = 38) and biomarker (n = 31) were the top three keywords. These results indicated that articles published in journals with higher impact factors are more likely to spread. Compared with developing countries, developed countries have contributed more to these articles. It is suggested that cooperation should be strengthened between developed countries and developing counties in the future. More research on biomarkers in the depression field may still mainly focus on major depression. Abbreviation: WoS = Web of Science; JCR = Journal Citation Reports; UK = United Kingdom; NIMH = The National Institute of Mental Health; UCL = University College London; IF = Impact factor; BDNF = brain-derived neurotrophic factor; USA = United States [ABSTRACT FROM AUTHOR]
Copyright of Psychology, Health & Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: The top-100 cited articles on biomarkers in the depression field: a bibliometric analysis.
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  Data: <searchLink fieldCode="AR" term="%22Shi%2C+Shuzhen%22">Shi, Shuzhen</searchLink><br /><searchLink fieldCode="AR" term="%22Gao%2C+Ya%22">Gao, Ya</searchLink><br /><searchLink fieldCode="AR" term="%22Sun%2C+Yue%22">Sun, Yue</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Ming%22">Liu, Ming</searchLink><br /><searchLink fieldCode="AR" term="%22Shao%2C+Lihua%22">Shao, Lihua</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Junhua%22">Zhang, Junhua</searchLink><br /><searchLink fieldCode="AR" term="%22Tian%2C+Jinhui%22">Tian, Jinhui</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Psychology%2C+Health+%26+Medicine%22">Psychology, Health & Medicine</searchLink>. Jun2021, Vol. 26 Issue 5, p533-542. 10p. 1 Color Photograph, 3 Charts, 5 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Developed+countries%22">Developed countries</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Citation+analysis%22">Citation analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Periodical+articles%22">Periodical articles</searchLink><br /><searchLink fieldCode="DE" term="%22Developing+countries%22">Developing countries</searchLink><br /><searchLink fieldCode="DE" term="%22National+Institute+of+Mental+Health+%28U%2ES%2E%29%22">National Institute of Mental Health (U.S.)</searchLink><br /><searchLink fieldCode="DE" term="%22Impact+factor+%28Citation+analysis%29%22">Impact factor (Citation analysis)</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper aimed to explore the characteristics of the top-100 cited articles on the biomarkers in the depression field and strive to find the future trend. The top-100 cited articles were selected from the Web of Science Core Collection database. Excel 2016 and VOSviewer 1.6.9 were used to analyze the information. Forty-six journals contributed to these 100 articles, and Biological Psychiatry published the largest number of articles (n = 18). Holsboer F (n = 4) contributed the most, and Maes M (n = 118) was the most co-cited author. Twenty-six countries and 220 organizations contributed to the top-100 articles, respectively. The USA (n = 48) was the main contributor. NIMH and Kings Coll London both participated in seven articles. Major depression (n = 62), depression (n = 38) and biomarker (n = 31) were the top three keywords. These results indicated that articles published in journals with higher impact factors are more likely to spread. Compared with developing countries, developed countries have contributed more to these articles. It is suggested that cooperation should be strengthened between developed countries and developing counties in the future. More research on biomarkers in the depression field may still mainly focus on major depression. Abbreviation: WoS = Web of Science; JCR = Journal Citation Reports; UK = United Kingdom; NIMH = The National Institute of Mental Health; UCL = University College London; IF = Impact factor; BDNF = brain-derived neurotrophic factor; USA = United States [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Psychology, Health & Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13548506.2020.1752924
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 533
    Subjects:
      – SubjectFull: Biomarkers
        Type: general
      – SubjectFull: Developed countries
        Type: general
      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Citation analysis
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Periodical articles
        Type: general
      – SubjectFull: Developing countries
        Type: general
      – SubjectFull: National Institute of Mental Health (U.S.)
        Type: general
      – SubjectFull: Impact factor (Citation analysis)
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      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: The top-100 cited articles on biomarkers in the depression field: a bibliometric analysis.
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              M: 06
              Text: Jun2021
              Type: published
              Y: 2021
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