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Editorial: special issue on machine learning for health and medicine

Overview of attention for article published in Machine Learning, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
22 Mendeley
Title
Editorial: special issue on machine learning for health and medicine
Published in
Machine Learning, December 2015
DOI 10.1007/s10994-015-5533-9
Authors

Jenna Wiens, Byron C. Wallace

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 27%
Student > Master 5 23%
Student > Bachelor 2 9%
Other 1 5%
Professor 1 5%
Other 3 14%
Unknown 4 18%
Readers by discipline Count As %
Computer Science 10 45%
Medicine and Dentistry 3 14%
Engineering 2 9%
Decision Sciences 1 5%
Business, Management and Accounting 1 5%
Other 0 0%
Unknown 5 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 February 2016.
All research outputs
#13,439,638
of 23,661,575 outputs
Outputs from Machine Learning
#499
of 1,014 outputs
Outputs of similar age
#182,509
of 393,901 outputs
Outputs of similar age from Machine Learning
#1
of 8 outputs
Altmetric has tracked 23,661,575 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,014 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 393,901 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 52% of its contemporaries.
We're also able to compare this research output to 8 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