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Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics

Overview of attention for article published in Journal of Medical Internet Research, July 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

twitter
225 tweeters
facebook
4 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics
Published in
Journal of Medical Internet Research, July 2017
DOI 10.2196/jmir.7072
Pubmed ID
Authors

Damian Roland, Roland, Damian, Spurr, Jesse, Cabrera, Daniel, Jesse Spurr, Daniel Cabrera

Abstract

Online communities of practice (oCoPs) may emerge from interactions on social media. These communities offer an open digital space and flat role hierarchy for information sharing and provide a strong group identity, rapid flow of information, content curation, and knowledge translation. To date, there is only a small body of evidence in medicine or health care to verify the existence of an oCoP. We aimed to examine the emergence of an oCoP through the study of social media interactions of the free open access medical education (FOAM) movement. We examined social media activity in Twitter by analyzing the network centrality metrics of tweets with the #FOAMed hashtag and compared them with previously validated criteria of a community of practice (CoP). The centrality analytics of the FOAM community showed concordance with aspects of a general CoP (in terms of community, domain, and practice), as well as some specific traits of a health care community, including social control, common purpose, flat hierarchy, and network-based and concrete achievement. This study demonstrated preliminary evidence of an oCoP focused on education and based on social media interactions. Further examination of the topology of the network is needed to definitely prove the existence of an oCoP. Given that these communities result in significant knowledge translation and practice change, further research in this area appears warranted.

Twitter Demographics

The data shown below were collected from the profiles of 225 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 4 15%
Other 3 12%
Student > Postgraduate 3 12%
Researcher 3 12%
Other 9 35%
Readers by discipline Count As %
Medicine and Dentistry 13 50%
Computer Science 4 15%
Social Sciences 4 15%
Unspecified 2 8%
Agricultural and Biological Sciences 1 4%
Other 2 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 141. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 October 2018.
All research outputs
#85,645
of 12,214,198 outputs
Outputs from Journal of Medical Internet Research
#62
of 2,590 outputs
Outputs of similar age
#4,662
of 263,280 outputs
Outputs of similar age from Journal of Medical Internet Research
#1
of 1 outputs
Altmetric has tracked 12,214,198 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,590 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.2. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,280 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them