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Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or…

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

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 2,601)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

blogs
1 blog
twitter
1056 tweeters
facebook
19 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or Researchers
Published in
Journal of Medical Internet Research, August 2017
DOI 10.2196/jmir.8049
Pubmed ID
Authors

Utengen, Audun, Rouholiman, Dara, Gamble, Jamison G, Grajales III, Francisco Jose, Pradhan, Nisha, Staley, Alicia C, Bernstein, Liza, Young, Sean D, Clauson, Kevin A, Chu, Larry F

Abstract

Health care conferences present a unique opportunity to network, spark innovation, and disseminate novel information to a large audience, but the dissemination of information typically stays within very specific networks. Social network analysis can be adopted to understand the flow of information between virtual social communities and the role of patients within the network. The purpose of this study is to examine the impact engaged patients bring to health care conference social media information flow and how they expand dissemination and distribution of tweets compared to other health care conference stakeholders such as physicians and researchers. From January 2014 through December 2016, 7,644,549 tweets were analyzed from 1672 health care conferences with at least 1000 tweets who had registered in Symplur's Health Care Hashtag Project from 2014 to 2016. The tweet content was analyzed to create a list of the top 100 influencers by mention from each conference, who were then subsequently categorized by stakeholder group. Multivariate linear regression models were created using stepwise function building to identify factors explaining variability as predictor variables for the model in which conference tweets were taken as the dependent variable. Inclusion of engaged patients in health care conference social media was low compared to that of physicians and has not significantly changed over the last 3 years. When engaged patient voices are included in health care conferences, they greatly increase information flow as measured by total tweet volume (beta=301.6) compared to physicians (beta=137.3, P<.001), expand propagation of information tweeted during a conference as measured by social media impressions created (beta=1,700,000) compared to physicians (beta=270,000, P<.001), and deepen engagement in the tweet conversation as measured by replies to their tweets (beta=24.4) compared to physicians (beta=5.5, P<.001). Social network analysis of hubs and authorities revealed that patients had statistically significant higher hub scores (mean 8.26×10-4, SD 2.96×10-4) compared to other stakeholder groups' Twitter accounts (mean 7.19×10-4, SD 3.81×10-4; t273.84=4.302, P<.001). Although engaged patients are powerful accelerators of information flow, expanders of tweet propagation, and greatly deepen engagement in conversation of tweets on social media of health care conferences compared to physicians, they represent only 1.4% of the stakeholder mix of the top 100 influencers in the conversation. Health care conferences that fail to engage patients in their proceedings may risk limiting their engagement with the public, disseminating scientific information to a narrow community and slowing flow of information across social media channels.

Twitter Demographics

The data shown below were collected from the profiles of 1,056 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Researcher 7 18%
Student > Doctoral Student 6 15%
Professor 4 10%
Student > Ph. D. Student 3 8%
Other 11 28%
Readers by discipline Count As %
Medicine and Dentistry 12 31%
Engineering 6 15%
Unspecified 5 13%
Computer Science 5 13%
Nursing and Health Professions 4 10%
Other 7 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 729. 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 11 December 2018.
All research outputs
#6,151
of 12,280,928 outputs
Outputs from Journal of Medical Internet Research
#3
of 2,601 outputs
Outputs of similar age
#367
of 270,541 outputs
Outputs of similar age from Journal of Medical Internet Research
#1
of 1 outputs
Altmetric has tracked 12,280,928 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 2,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.0. This one has done particularly well, scoring higher than 99% 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 270,541 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 99% 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