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Twitter hashtags for health: applying network and content analyses to understand the health knowledge sharing in a Twitter-based community of practice

Overview of attention for article published in Quality & Quantity, July 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 248)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
89 Mendeley
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Title
Twitter hashtags for health: applying network and content analyses to understand the health knowledge sharing in a Twitter-based community of practice
Published in
Quality & Quantity, July 2014
DOI 10.1007/s11135-014-0051-6
Authors

Weiai Wayne Xu, I-Hsuan Chiu, Yixin Chen, Tanuka Mukherjee

Twitter Demographics

The data shown below were collected from the profiles of 6 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Spain 1 1%
Canada 1 1%
Unknown 83 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 33%
Student > Master 17 19%
Researcher 7 8%
Student > Bachelor 5 6%
Student > Doctoral Student 5 6%
Other 26 29%
Readers by discipline Count As %
Social Sciences 31 35%
Unspecified 14 16%
Computer Science 11 12%
Business, Management and Accounting 9 10%
Arts and Humanities 6 7%
Other 18 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 June 2015.
All research outputs
#2,858,557
of 11,352,109 outputs
Outputs from Quality & Quantity
#35
of 248 outputs
Outputs of similar age
#45,010
of 186,116 outputs
Outputs of similar age from Quality & Quantity
#2
of 7 outputs
Altmetric has tracked 11,352,109 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 248 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 85% 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 186,116 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.