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Why mobile health app overload drives us crazy, and how to restore the sanity

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2013
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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38 X users

Citations

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116 Dimensions

Readers on

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320 Mendeley
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Title
Why mobile health app overload drives us crazy, and how to restore the sanity
Published in
BMC Medical Informatics and Decision Making, February 2013
DOI 10.1186/1472-6947-13-23
Pubmed ID
Authors

Lex van Velsen, Desirée JMA Beaujean, Julia EWC van Gemert-Pijnen

Abstract

Smartphones and tablet computers have become an integral part of our lives. One of their key features is the possibility of installing third-party apps. These apps can be very helpful for improving health and healthcare. However, medical professionals and citizens are currently being overloaded with health apps. Consequently, they will have difficulty with finding the right app, and information and features are fragmented over too many apps, thereby limiting their usefulness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 320 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 4 1%
Brazil 3 <1%
Malaysia 2 <1%
Portugal 2 <1%
Canada 2 <1%
United States 2 <1%
United Kingdom 2 <1%
Finland 1 <1%
South Africa 1 <1%
Other 5 2%
Unknown 296 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 64 20%
Student > Ph. D. Student 46 14%
Student > Bachelor 38 12%
Researcher 37 12%
Student > Postgraduate 23 7%
Other 70 22%
Unknown 42 13%
Readers by discipline Count As %
Medicine and Dentistry 63 20%
Computer Science 59 18%
Psychology 33 10%
Social Sciences 29 9%
Business, Management and Accounting 18 6%
Other 64 20%
Unknown 54 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 05 August 2013.
All research outputs
#1,418,264
of 25,392,582 outputs
Outputs from BMC Medical Informatics and Decision Making
#61
of 2,140 outputs
Outputs of similar age
#13,182
of 296,923 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 39 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,140 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 97% 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 296,923 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 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.