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Medical applications: a database and characterization of apps in Apple iOS and Android platforms

Overview of attention for article published in BMC Research Notes, August 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
171 Mendeley
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Title
Medical applications: a database and characterization of apps in Apple iOS and Android platforms
Published in
BMC Research Notes, August 2014
DOI 10.1186/1756-0500-7-573
Pubmed ID
Authors

Heather J Seabrook, Julie N Stromer, Cole Shevkenek, Aleem Bharwani, Jill de Grood, William A Ghali

Abstract

Medical applications (apps) for smart phones and tablet computers are growing in number and are commonly used in healthcare. In this context, there is a need for a diverse community of app users, medical researchers, and app developers to better understand the app landscape.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Norway 1 <1%
Argentina 1 <1%
Unknown 168 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 33 19%
Student > Master 30 18%
Student > Ph. D. Student 22 13%
Researcher 16 9%
Student > Postgraduate 12 7%
Other 35 20%
Unknown 23 13%
Readers by discipline Count As %
Medicine and Dentistry 44 26%
Computer Science 27 16%
Nursing and Health Professions 15 9%
Engineering 11 6%
Business, Management and Accounting 10 6%
Other 35 20%
Unknown 29 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 April 2016.
All research outputs
#6,779,370
of 24,393,999 outputs
Outputs from BMC Research Notes
#1,013
of 4,387 outputs
Outputs of similar age
#62,707
of 241,133 outputs
Outputs of similar age from BMC Research Notes
#33
of 136 outputs
Altmetric has tracked 24,393,999 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 76% 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 241,133 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.