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The world of biomedical apps: their uses, limitations, and potential

Overview of attention for article published in Scientific Phone Apps and Mobile Devices, July 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
30 Mendeley
Title
The world of biomedical apps: their uses, limitations, and potential
Published in
Scientific Phone Apps and Mobile Devices, July 2016
DOI 10.1186/s41070-016-0009-2
Authors

Samuel Ken-En Gan, Jun-Kai Poon

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Student > Master 4 13%
Other 3 10%
Student > Bachelor 3 10%
Student > Postgraduate 3 10%
Other 3 10%
Unknown 5 17%
Readers by discipline Count As %
Computer Science 5 17%
Chemistry 4 13%
Engineering 4 13%
Medicine and Dentistry 2 7%
Agricultural and Biological Sciences 1 3%
Other 7 23%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 July 2017.
All research outputs
#6,816,122
of 22,881,154 outputs
Outputs from Scientific Phone Apps and Mobile Devices
#14
of 34 outputs
Outputs of similar age
#115,194
of 363,105 outputs
Outputs of similar age from Scientific Phone Apps and Mobile Devices
#2
of 4 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 34 research outputs from this source. They receive a mean Attention Score of 3.3. This one scored the same or higher as 20 of them.
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 363,105 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 67% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.