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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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
145 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 2 1%
Spain 1 <1%
Canada 1 <1%
Unknown 137 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 25%
Student > Master 27 19%
Student > Doctoral Student 11 8%
Student > Bachelor 10 7%
Researcher 9 6%
Other 28 19%
Unknown 24 17%
Readers by discipline Count As %
Social Sciences 43 30%
Computer Science 14 10%
Business, Management and Accounting 13 9%
Medicine and Dentistry 12 8%
Arts and Humanities 9 6%
Other 21 14%
Unknown 33 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 10 February 2021.
All research outputs
#3,405,609
of 25,888,937 outputs
Outputs from Quality & Quantity
#57
of 733 outputs
Outputs of similar age
#32,194
of 241,468 outputs
Outputs of similar age from Quality & Quantity
#1
of 8 outputs
Altmetric has tracked 25,888,937 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 733 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 241,468 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 86% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them