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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

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

twitter
9 tweeters
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 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 24 August 2019.
All research outputs
#3,874,370
of 13,451,832 outputs
Outputs from Systematic Reviews
#707
of 1,151 outputs
Outputs of similar age
#65,978
of 179,219 outputs
Outputs of similar age from Systematic Reviews
#1
of 1 outputs
Altmetric has tracked 13,451,832 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 1,151 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 38th percentile – i.e., 38% 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 179,219 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 62% 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