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Understanding public interest and needs in health policies through the application of social network analysis on a governmental Facebook fan page

Overview of attention for article published in BMC Public Health, September 2020
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Understanding public interest and needs in health policies through the application of social network analysis on a governmental Facebook fan page
Published in
BMC Public Health, September 2020
DOI 10.1186/s12889-020-09420-y
Pubmed ID
Authors

Hsiang-Min Huang, Ching-Ju Chiu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Other 3 8%
Librarian 2 5%
Researcher 2 5%
Student > Bachelor 2 5%
Other 8 21%
Unknown 15 39%
Readers by discipline Count As %
Social Sciences 5 13%
Business, Management and Accounting 4 11%
Medicine and Dentistry 3 8%
Nursing and Health Professions 2 5%
Arts and Humanities 2 5%
Other 5 13%
Unknown 17 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 December 2020.
All research outputs
#20,642,821
of 23,237,082 outputs
Outputs from BMC Public Health
#14,175
of 15,168 outputs
Outputs of similar age
#342,390
of 400,208 outputs
Outputs of similar age from BMC Public Health
#252
of 288 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 400,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 288 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.