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Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study”
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277321/ https://www.ncbi.nlm.nih.gov/pubmed/34137722 http://dx.doi.org/10.2196/28990 |
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author | Resnik, Philip De Choudhury, Munmun Musacchio Schafer, Katherine Coppersmith, Glen |
author_facet | Resnik, Philip De Choudhury, Munmun Musacchio Schafer, Katherine Coppersmith, Glen |
author_sort | Resnik, Philip |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8277321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-82773212021-07-26 Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study” Resnik, Philip De Choudhury, Munmun Musacchio Schafer, Katherine Coppersmith, Glen J Med Internet Res Letter to the Editor JMIR Publications 2021-06-17 /pmc/articles/PMC8277321/ /pubmed/34137722 http://dx.doi.org/10.2196/28990 Text en ©Philip Resnik, Munmun De Choudhury, Katherine Musacchio Schafer, Glen Coppersmith. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.06.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Letter to the Editor Resnik, Philip De Choudhury, Munmun Musacchio Schafer, Katherine Coppersmith, Glen Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study” |
title | Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study” |
title_full | Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study” |
title_fullStr | Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study” |
title_full_unstemmed | Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study” |
title_short | Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study” |
title_sort | bibliometric studies and the discipline of social media mental health research. comment on “machine learning for mental health in social media: bibliometric study” |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277321/ https://www.ncbi.nlm.nih.gov/pubmed/34137722 http://dx.doi.org/10.2196/28990 |
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