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Uncovering the relationships between military community health and affects expressed in social media

Overview of attention for article published in EPJ Data Science, June 2017
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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 (#40 of 385)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
7 news outlets
blogs
2 blogs
twitter
10 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
70 Mendeley
Title
Uncovering the relationships between military community health and affects expressed in social media
Published in
EPJ Data Science, June 2017
DOI 10.1140/epjds/s13688-017-0102-z
Authors

Svitlana Volkova, Lauren E Charles, Josh Harrison, Courtney D Corley

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 14%
Student > Bachelor 9 13%
Other 6 9%
Student > Postgraduate 5 7%
Student > Ph. D. Student 5 7%
Other 15 21%
Unknown 20 29%
Readers by discipline Count As %
Computer Science 14 20%
Business, Management and Accounting 6 9%
Social Sciences 6 9%
Psychology 4 6%
Engineering 4 6%
Other 11 16%
Unknown 25 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 16 August 2017.
All research outputs
#559,899
of 23,577,761 outputs
Outputs from EPJ Data Science
#40
of 385 outputs
Outputs of similar age
#12,816
of 318,471 outputs
Outputs of similar age from EPJ Data Science
#3
of 12 outputs
Altmetric has tracked 23,577,761 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 385 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.4. 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 318,471 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 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.