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A Systematic Review of Healthcare Applications for Smartphones

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 1,573)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
1 news outlet
twitter
163 tweeters
facebook
4 Facebook pages
linkedin
1 LinkedIn user

Citations

dimensions_citation
668 Dimensions

Readers on

mendeley
1368 Mendeley
citeulike
2 CiteULike
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Title
A Systematic Review of Healthcare Applications for Smartphones
Published in
BMC Medical Informatics and Decision Making, July 2012
DOI 10.1186/1472-6947-12-67
Pubmed ID
Authors

Abu Saleh Mohammad Mosa, Illhoi Yoo, Lincoln Sheets

Abstract

Advanced mobile communications and portable computation are now combined in handheld devices called "smartphones", which are also capable of running third-party software. The number of smartphone users is growing rapidly, including among healthcare professionals. The purpose of this study was to classify smartphone-based healthcare technologies as discussed in academic literature according to their functionalities, and summarize articles in each category.

Twitter Demographics

The data shown below were collected from the profiles of 163 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 1,368 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 1%
United Kingdom 12 <1%
Spain 7 <1%
Portugal 5 <1%
Malaysia 5 <1%
Germany 5 <1%
Canada 5 <1%
Netherlands 4 <1%
Ireland 2 <1%
Other 20 1%
Unknown 1288 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 320 23%
Student > Bachelor 189 14%
Student > Ph. D. Student 180 13%
Researcher 139 10%
Student > Doctoral Student 97 7%
Other 321 23%
Unknown 122 9%
Readers by discipline Count As %
Medicine and Dentistry 398 29%
Computer Science 217 16%
Nursing and Health Professions 132 10%
Social Sciences 87 6%
Engineering 83 6%
Other 281 21%
Unknown 170 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 118. 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 May 2016.
All research outputs
#201,224
of 17,355,315 outputs
Outputs from BMC Medical Informatics and Decision Making
#4
of 1,573 outputs
Outputs of similar age
#1,030
of 133,137 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 17,355,315 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,573 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 99% 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 133,137 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 99% of its contemporaries.
We're also able to compare this research output to 1 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