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The dynamics of health behavior sentiments on a large online social network

Overview of attention for article published in EPJ Data Science, April 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 418)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
30 X users
facebook
3 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
192 Mendeley
citeulike
3 CiteULike
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Title
The dynamics of health behavior sentiments on a large online social network
Published in
EPJ Data Science, April 2013
DOI 10.1140/epjds16
Authors

Marcel Salathé, Duy Q Vu, Shashank Khandelwal, David R Hunter

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 X users 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
Netherlands 2 1%
Malaysia 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Belgium 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 176 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 26%
Researcher 29 15%
Student > Master 26 14%
Other 13 7%
Student > Doctoral Student 11 6%
Other 43 22%
Unknown 21 11%
Readers by discipline Count As %
Computer Science 44 23%
Social Sciences 28 15%
Medicine and Dentistry 18 9%
Agricultural and Biological Sciences 14 7%
Business, Management and Accounting 12 6%
Other 37 19%
Unknown 39 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 18 August 2020.
All research outputs
#640,621
of 24,840,108 outputs
Outputs from EPJ Data Science
#45
of 418 outputs
Outputs of similar age
#4,285
of 204,447 outputs
Outputs of similar age from EPJ Data Science
#2
of 3 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 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.5. This one has done well, scoring higher than 89% 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 204,447 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 97% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.