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Cell Press

Driving Innovation in Health Systems through an Apps-Based Information Economy

Overview of attention for article published in Cell Systems, July 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 988)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
9 news outlets
blogs
4 blogs
policy
1 policy source
twitter
249 X users
facebook
4 Facebook pages
googleplus
8 Google+ users

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
199 Mendeley
Title
Driving Innovation in Health Systems through an Apps-Based Information Economy
Published in
Cell Systems, July 2015
DOI 10.1016/j.cels.2015.05.001
Pubmed ID
Authors

Kenneth D. Mandl, Joshua C. Mandel, Isaac S. Kohane

Abstract

Healthcare data will soon be accessible using standard, open software interfaces. Here, we describe how these interfaces could lead to improved healthcare by facilitating the development of software applications (apps) that can be shared across physicians, health care organizations, translational researchers, and patients. We provide recommendations for next steps and resources for the myriad stakeholders. If challenges related to efficacy, accuracy, utility, safety, privacy, and security can be met, this emerging apps model for health information technology will open up the point of care for innovation and connect patients at home to their healthcare data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 249 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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Brazil 2 1%
Saudi Arabia 1 <1%
Mexico 1 <1%
Taiwan 1 <1%
Spain 1 <1%
Korea, Republic of 1 <1%
Unknown 188 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 20%
Student > Ph. D. Student 28 14%
Researcher 21 11%
Student > Bachelor 20 10%
Student > Doctoral Student 17 9%
Other 47 24%
Unknown 27 14%
Readers by discipline Count As %
Computer Science 52 26%
Medicine and Dentistry 30 15%
Agricultural and Biological Sciences 18 9%
Social Sciences 13 7%
Business, Management and Accounting 12 6%
Other 37 19%
Unknown 37 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 282. 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 17 January 2023.
All research outputs
#127,401
of 25,661,882 outputs
Outputs from Cell Systems
#12
of 988 outputs
Outputs of similar age
#1,216
of 278,073 outputs
Outputs of similar age from Cell Systems
#1
of 18 outputs
Altmetric has tracked 25,661,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.4. This one has done particularly well, scoring higher than 98% 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 278,073 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 18 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 94% of its contemporaries.