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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 77 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 23 | 30% |
| United Kingdom | 4 | 5% |
| Spain | 3 | 4% |
| South Africa | 2 | 3% |
| Italy | 2 | 3% |
| Brazil | 2 | 3% |
| Bangladesh | 1 | 1% |
| Chile | 1 | 1% |
| Switzerland | 1 | 1% |
| Other | 8 | 10% |
| Unknown | 30 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 55% |
| Practitioners (doctors, other healthcare professionals) | 18 | 23% |
| Scientists | 12 | 16% |
| Science communicators (journalists, bloggers, editors) | 5 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 144 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 16% |
| Researcher | 20 | 14% |
| Student > Ph. D. Student | 16 | 11% |
| Student > Doctoral Student | 14 | 10% |
| Student > Bachelor | 12 | 8% |
| Other | 24 | 17% |
| Unknown | 36 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 14% |
| Computer Science | 18 | 12% |
| Social Sciences | 12 | 8% |
| Business, Management and Accounting | 11 | 8% |
| Nursing and Health Professions | 9 | 6% |
| Other | 23 | 16% |
| Unknown | 51 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 05 March 2020.
All research outputs
#801,961
of 24,840,108 outputs
Outputs from Journal of Biomedical Informatics
#21
of 1,982 outputs
Outputs of similar age
#15,347
of 331,361 outputs
Outputs of similar age from Journal of Biomedical Informatics
#2
of 31 outputs
Altmetric has tracked 24,840,108 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,982 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 98% 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 331,361 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 95% of its contemporaries.
We're also able to compare this research output to 31 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.