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Population segmentation based on healthcare needs: a systematic review

Overview of attention for article published in Systematic Reviews, August 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

news
1 news outlet
twitter
11 tweeters

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
86 Mendeley
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Title
Population segmentation based on healthcare needs: a systematic review
Published in
Systematic Reviews, August 2019
DOI 10.1186/s13643-019-1105-6
Pubmed ID
Authors

Jia Loon Chong, Ka Keat Lim, David Bruce Matchar

Twitter Demographics

The data shown below were collected from the profiles of 11 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Researcher 13 15%
Student > Master 10 12%
Student > Doctoral Student 6 7%
Other 6 7%
Other 16 19%
Unknown 20 23%
Readers by discipline Count As %
Medicine and Dentistry 18 21%
Nursing and Health Professions 10 12%
Business, Management and Accounting 8 9%
Social Sciences 4 5%
Engineering 4 5%
Other 17 20%
Unknown 25 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 27 August 2020.
All research outputs
#1,655,029
of 18,750,173 outputs
Outputs from Systematic Reviews
#314
of 1,681 outputs
Outputs of similar age
#37,539
of 272,687 outputs
Outputs of similar age from Systematic Reviews
#1
of 1 outputs
Altmetric has tracked 18,750,173 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,681 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 81% 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 272,687 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 1 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