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A usability study of a mHealth system for diabetes self-management based on framework analysis and usability problem taxonomy methods

Overview of attention for article published in Journal of Ambient Intelligence and Humanized Computing, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 324)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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11 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
28 Mendeley
Title
A usability study of a mHealth system for diabetes self-management based on framework analysis and usability problem taxonomy methods
Published in
Journal of Ambient Intelligence and Humanized Computing, June 2019
DOI 10.1007/s12652-019-01369-0
Authors

Jesús Fontecha, Iván González, José Bravo

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Doctoral Student 3 11%
Student > Master 3 11%
Student > Ph. D. Student 3 11%
Professor 2 7%
Other 4 14%
Unknown 7 25%
Readers by discipline Count As %
Computer Science 5 18%
Psychology 2 7%
Medicine and Dentistry 2 7%
Social Sciences 2 7%
Mathematics 1 4%
Other 4 14%
Unknown 12 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 July 2019.
All research outputs
#3,670,252
of 25,732,188 outputs
Outputs from Journal of Ambient Intelligence and Humanized Computing
#11
of 324 outputs
Outputs of similar age
#72,514
of 367,959 outputs
Outputs of similar age from Journal of Ambient Intelligence and Humanized Computing
#2
of 9 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 324 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 96% 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 367,959 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 80% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.