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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 (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
67 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

Twitter Demographics

The data shown below were collected from the profiles of 7 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Student > Bachelor 12 18%
Researcher 7 10%
Other 5 7%
Student > Master 4 6%
Other 13 19%
Unknown 14 21%
Readers by discipline Count As %
Medicine and Dentistry 14 21%
Computer Science 7 10%
Veterinary Science and Veterinary Medicine 4 6%
Nursing and Health Professions 4 6%
Business, Management and Accounting 3 4%
Other 17 25%
Unknown 18 27%

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 23 July 2020.
All research outputs
#6,607,220
of 22,239,563 outputs
Outputs from BMC Public Health
#6,903
of 14,427 outputs
Outputs of similar age
#105,155
of 290,075 outputs
Outputs of similar age from BMC Public Health
#21
of 32 outputs
Altmetric has tracked 22,239,563 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 14,427 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 51% 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 290,075 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 63% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.