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Machine learning to refine decision making within a syndromic surveillance service

Overview of attention for article published in BMC Public Health, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
78 Mendeley
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Title
Machine learning to refine decision making within a syndromic surveillance service
Published in
BMC Public Health, May 2019
DOI 10.1186/s12889-019-6916-9
Pubmed ID
Authors

I. R. Lake, F. J. Colón-González, G. C. Barker, R. A. Morbey, G. E. Smith, A. J. Elliot

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Student > Bachelor 12 15%
Researcher 10 13%
Other 5 6%
Student > Master 5 6%
Other 13 17%
Unknown 21 27%
Readers by discipline Count As %
Medicine and Dentistry 15 19%
Computer Science 7 9%
Engineering 5 6%
Nursing and Health Professions 4 5%
Veterinary Science and Veterinary Medicine 4 5%
Other 18 23%
Unknown 25 32%
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 11 April 2020.
All research outputs
#8,073,252
of 24,942,536 outputs
Outputs from BMC Public Health
#8,585
of 16,601 outputs
Outputs of similar age
#137,887
of 357,591 outputs
Outputs of similar age from BMC Public Health
#234
of 379 outputs
Altmetric has tracked 24,942,536 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 16,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 47th percentile – i.e., 47% 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 357,591 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 60% of its contemporaries.
We're also able to compare this research output to 379 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.