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Hikikomori: A perspective from bibliometric analysis.

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Title: Hikikomori: A perspective from bibliometric analysis.
Authors: Cai, Hong (AUTHOR), Sha, Sha (AUTHOR), Zhang, Qinge (AUTHOR), Si, Tong Leong (AUTHOR), Liu, Yu‐Fei (AUTHOR), Zheng, Wan‐Ying (AUTHOR), Su, Zhaohui (AUTHOR), Cheung, Teris (AUTHOR), Ungvari, Gabor S. (AUTHOR), Teo, Alan R. (AUTHOR), Kato, Takahiro A. (AUTHOR), Ng, Chee H. (AUTHOR), Xiang, Yu‐Tao (AUTHOR)
Source: Psychiatry & Clinical Neurosciences. Oct2023, Vol. 77 Issue 10, p541-549. 9p. 2 Diagrams, 2 Charts, 2 Graphs, 1 Map.
Subjects: Bibliometrics, Autism spectrum disorders, Psychiatric diagnosis, Research personnel, Internet searching
Geographic Terms: Japan
Abstract: Aims: Hikikomori is a common phenomenon reported in Japan and many other countries. However, the broad trends of the research publications on hikikomori are unclear. Therefore, this study examined the patterns of research on hikikomori using bibliometric analysis. Methods: Relevant publications were searched in Web of Science. Bibliometric analyses were performed with CiteSpace, R and VOSviewer. Results: In total, 297 publications on hikikomori met the eligibility criteria. The International Journal of Social Psychiatry (IF = 10.461) published the most papers (K = 17, or 5.7%) on hikikomori. Takahiro A. Kato from Kyushu University (41; 13.8%; H‐index = 18) was the most influential author, while Takahiro A. Kato (total link strength [TLS]: 235), Alan R. Teo (TLS: 157), and Masaru Tateno (TLS: 153) separately had the strongest research collaboration with other researchers. Of all countries that published on hikikomori, Japan had the highest number of publications (K = 91). The keywords "United States" and "psychiatric diagnosis" received the most attention between 2013 and 2015, whereas "health" and "autism spectrum disorder" received the most attention in 2021 and 2022. Conclusions: Peer‐reviewed research publications on hikikomori are growing rapidly and the research trends in this field are also changing. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell 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: Hikikomori: A perspective from bibliometric analysis.
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  Data: <searchLink fieldCode="AR" term="%22Cai%2C+Hong%22">Cai, Hong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sha%2C+Sha%22">Sha, Sha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Qinge%22">Zhang, Qinge</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Si%2C+Tong+Leong%22">Si, Tong Leong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yu‐Fei%22">Liu, Yu‐Fei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Wan‐Ying%22">Zheng, Wan‐Ying</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Su%2C+Zhaohui%22">Su, Zhaohui</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheung%2C+Teris%22">Cheung, Teris</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ungvari%2C+Gabor+S%2E%22">Ungvari, Gabor S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Teo%2C+Alan+R%2E%22">Teo, Alan R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kato%2C+Takahiro+A%2E%22">Kato, Takahiro A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ng%2C+Chee+H%2E%22">Ng, Chee H.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiang%2C+Yu‐Tao%22">Xiang, Yu‐Tao</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Psychiatry+%26+Clinical+Neurosciences%22">Psychiatry & Clinical Neurosciences</searchLink>. Oct2023, Vol. 77 Issue 10, p541-549. 9p. 2 Diagrams, 2 Charts, 2 Graphs, 1 Map.
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  Data: <searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Autism+spectrum+disorders%22">Autism spectrum disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Psychiatric+diagnosis%22">Psychiatric diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+personnel%22">Research personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+searching%22">Internet searching</searchLink>
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  Data: Aims: Hikikomori is a common phenomenon reported in Japan and many other countries. However, the broad trends of the research publications on hikikomori are unclear. Therefore, this study examined the patterns of research on hikikomori using bibliometric analysis. Methods: Relevant publications were searched in Web of Science. Bibliometric analyses were performed with CiteSpace, R and VOSviewer. Results: In total, 297 publications on hikikomori met the eligibility criteria. The International Journal of Social Psychiatry (IF = 10.461) published the most papers (K = 17, or 5.7%) on hikikomori. Takahiro A. Kato from Kyushu University (41; 13.8%; H‐index = 18) was the most influential author, while Takahiro A. Kato (total link strength [TLS]: 235), Alan R. Teo (TLS: 157), and Masaru Tateno (TLS: 153) separately had the strongest research collaboration with other researchers. Of all countries that published on hikikomori, Japan had the highest number of publications (K = 91). The keywords "United States" and "psychiatric diagnosis" received the most attention between 2013 and 2015, whereas "health" and "autism spectrum disorder" received the most attention in 2021 and 2022. Conclusions: Peer‐reviewed research publications on hikikomori are growing rapidly and the research trends in this field are also changing. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell 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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        Value: 10.1111/pcn.13573
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        Text: English
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      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Autism spectrum disorders
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      – SubjectFull: Psychiatric diagnosis
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      – SubjectFull: Internet searching
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