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Healthcare hashtag index development: Identifying global impact in social media

Overview of attention for article published in Journal of Biomedical Informatics, October 2016
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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 (#7 of 1,163)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
92 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Healthcare hashtag index development: Identifying global impact in social media
Published in
Journal of Biomedical Informatics, October 2016
DOI 10.1016/j.jbi.2016.09.010
Pubmed ID
Authors

Luís Pinho-Costa, Kenneth Yakubu, Kyle Hoedebecke, Liliana Laranjo, Christofer Patrick Reichel, Maria del C. Colon-Gonzalez, Ana Luísa Neves, Hassna Errami

Abstract

Create an index of global reach for healthcare hashtags and tweeters therein, filterable by topic of interest. For this proof-of-concept study we focused on the field of Primary Care and Family Medicine. Six hashtags were selected based on their importance, from the ones included in the 'Healthcare Hashtag Project'. Hashtag Global Reach (HGR) was calculated using the additive aggregation of five weighted, normalized indicator variables: number of impressions, tweets, tweeters, user locations, and user languages. Data were obtained for the last quarter of 2014 and first quarter of 2015 using Symplur Signals. Topic-specific HGR were calculated for the top 10 terms and for sets of quotes mapped after a thematic analysis. Individual Global Reach, IGR, was calculated across hashtags as additive indexes of three indicators: replies, retweets and mentions. Using the HGR score we were able to rank six selected hashtags and observe their performance throughout the study period. We found that #PrimaryCare and #FMRevolution had the highest HGR score in both quarters; interestingly, #FMChangeMakers experienced a marked increase in its global visibility during the study period. "Health Policy" was the commonest theme, while "Care", "Family" and "Health" were the most common terms. This is the first study describing an altmetric hashtag index. Assuming analytical soundness, the Index might prove generalizable to other healthcare hashtags. If released as a real-time business intelligence tool with customizable settings, it could aid publishing and strategic decisions by netizens, organizations, and analysts. IGR could also serve to augment academic evaluation and professional development. Our study demonstrates the feasibility of using an index on the global reach of healthcare hashtags and tweeters.

Twitter Demographics

The data shown below were collected from the profiles of 92 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Master 9 16%
Student > Doctoral Student 8 14%
Student > Ph. D. Student 7 12%
Unspecified 6 11%
Other 15 26%
Readers by discipline Count As %
Medicine and Dentistry 13 23%
Unspecified 11 19%
Computer Science 9 16%
Social Sciences 6 11%
Nursing and Health Professions 4 7%
Other 14 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 08 January 2019.
All research outputs
#233,952
of 12,369,082 outputs
Outputs from Journal of Biomedical Informatics
#7
of 1,163 outputs
Outputs of similar age
#10,131
of 264,292 outputs
Outputs of similar age from Journal of Biomedical Informatics
#1
of 32 outputs
Altmetric has tracked 12,369,082 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,163 research outputs from this source. They receive a mean Attention Score of 4.0. 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 264,292 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 96% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.