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Building a community of practice through social media using the hashtag #neoEBM

OBJECTIVES: Social media use is associated with developing communities of practice that promote the rapid exchange of information across traditional institutional and geographical boundaries faster than previously possible. We aimed to describe and share our experience using #neoEBM (Neonatal Eviden...

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Autores principales: Keir, Amy, Bamat, Nicolas, Hennebry, Bron, King, Brian, Patel, Ravi, Wright, Clyde, Scrivens, Alexandra, ElKhateeb, Omar, Mitra, Souvik, Roland, Damian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162580/
https://www.ncbi.nlm.nih.gov/pubmed/34048469
http://dx.doi.org/10.1371/journal.pone.0252472
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author Keir, Amy
Bamat, Nicolas
Hennebry, Bron
King, Brian
Patel, Ravi
Wright, Clyde
Scrivens, Alexandra
ElKhateeb, Omar
Mitra, Souvik
Roland, Damian
author_facet Keir, Amy
Bamat, Nicolas
Hennebry, Bron
King, Brian
Patel, Ravi
Wright, Clyde
Scrivens, Alexandra
ElKhateeb, Omar
Mitra, Souvik
Roland, Damian
author_sort Keir, Amy
collection PubMed
description OBJECTIVES: Social media use is associated with developing communities of practice that promote the rapid exchange of information across traditional institutional and geographical boundaries faster than previously possible. We aimed to describe and share our experience using #neoEBM (Neonatal Evidence Based Medicine) hashtag to organise and build a digital community of neonatal care practice. MATERIALS AND METHODS: Analysis of #neoEBM Twitter data in the Symplur Signals database between 1 May 2018 to 9 January 2021. Data on tweets containing the #neoEBM hashtag were analysed using online analytical tools, including the total number of tweets and user engagement. RESULTS: Since its registration, a total of 3 228 distinct individual Twitter users used the hashtag with 23 939 tweets and 37 259 710 impressions generated. The two days with the greatest number of tweets containing #neoEBM were 8 May 2018 (n = 218) and 28 April 2019 (n = 340), coinciding with the annual Pediatric Academic Societies meeting. The majority of Twitter users made one tweet using #neoEBM (n = 1078), followed by two tweets (n = 411) and more than 10 tweets (n = 347). The number of individual impressions (views) of tweets containing #neoEBM was 37 259 710. Of the 23 939 tweets using #neoEBM, 17 817 (74%) were retweeted (shared), 15 643 (65%) included at least one link and 1 196 (5%) had at least one reply. As #neoEBM users increased over time, so did tweets containing #neoEBM, with each additional user of the hashtag associated with a mean increase in 7.8 (95% CI 7.7–8.0) tweets containing #neoEBM. CONCLUSION: Our findings support the observation that the #neoEBM community possesses many of the characteristics of a community of practice, and it may be an effective tool to disseminate research findings. By sharing our experiences, we hope to encourage others to engage with or build online digital communities of practice to share knowledge and build collaborative networks across disciplines, institutions and countries.
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spelling pubmed-81625802021-06-10 Building a community of practice through social media using the hashtag #neoEBM Keir, Amy Bamat, Nicolas Hennebry, Bron King, Brian Patel, Ravi Wright, Clyde Scrivens, Alexandra ElKhateeb, Omar Mitra, Souvik Roland, Damian PLoS One Research Article OBJECTIVES: Social media use is associated with developing communities of practice that promote the rapid exchange of information across traditional institutional and geographical boundaries faster than previously possible. We aimed to describe and share our experience using #neoEBM (Neonatal Evidence Based Medicine) hashtag to organise and build a digital community of neonatal care practice. MATERIALS AND METHODS: Analysis of #neoEBM Twitter data in the Symplur Signals database between 1 May 2018 to 9 January 2021. Data on tweets containing the #neoEBM hashtag were analysed using online analytical tools, including the total number of tweets and user engagement. RESULTS: Since its registration, a total of 3 228 distinct individual Twitter users used the hashtag with 23 939 tweets and 37 259 710 impressions generated. The two days with the greatest number of tweets containing #neoEBM were 8 May 2018 (n = 218) and 28 April 2019 (n = 340), coinciding with the annual Pediatric Academic Societies meeting. The majority of Twitter users made one tweet using #neoEBM (n = 1078), followed by two tweets (n = 411) and more than 10 tweets (n = 347). The number of individual impressions (views) of tweets containing #neoEBM was 37 259 710. Of the 23 939 tweets using #neoEBM, 17 817 (74%) were retweeted (shared), 15 643 (65%) included at least one link and 1 196 (5%) had at least one reply. As #neoEBM users increased over time, so did tweets containing #neoEBM, with each additional user of the hashtag associated with a mean increase in 7.8 (95% CI 7.7–8.0) tweets containing #neoEBM. CONCLUSION: Our findings support the observation that the #neoEBM community possesses many of the characteristics of a community of practice, and it may be an effective tool to disseminate research findings. By sharing our experiences, we hope to encourage others to engage with or build online digital communities of practice to share knowledge and build collaborative networks across disciplines, institutions and countries. Public Library of Science 2021-05-28 /pmc/articles/PMC8162580/ /pubmed/34048469 http://dx.doi.org/10.1371/journal.pone.0252472 Text en © 2021 Keir et al 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 author and source are credited.
spellingShingle Research Article
Keir, Amy
Bamat, Nicolas
Hennebry, Bron
King, Brian
Patel, Ravi
Wright, Clyde
Scrivens, Alexandra
ElKhateeb, Omar
Mitra, Souvik
Roland, Damian
Building a community of practice through social media using the hashtag #neoEBM
title Building a community of practice through social media using the hashtag #neoEBM
title_full Building a community of practice through social media using the hashtag #neoEBM
title_fullStr Building a community of practice through social media using the hashtag #neoEBM
title_full_unstemmed Building a community of practice through social media using the hashtag #neoEBM
title_short Building a community of practice through social media using the hashtag #neoEBM
title_sort building a community of practice through social media using the hashtag #neoebm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162580/
https://www.ncbi.nlm.nih.gov/pubmed/34048469
http://dx.doi.org/10.1371/journal.pone.0252472
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