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A systematic review of the clinical application of data-driven population segmentation analysis

Overview of attention for article published in BMC Medical Research Methodology, November 2018
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
136 Mendeley
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Title
A systematic review of the clinical application of data-driven population segmentation analysis
Published in
BMC Medical Research Methodology, November 2018
DOI 10.1186/s12874-018-0584-9
Pubmed ID
Authors

Shi Yan, Yu Heng Kwan, Chuen Seng Tan, Julian Thumboo, Lian Leng Low

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 18%
Researcher 23 17%
Student > Master 15 11%
Student > Doctoral Student 9 7%
Other 8 6%
Other 20 15%
Unknown 37 27%
Readers by discipline Count As %
Medicine and Dentistry 29 21%
Nursing and Health Professions 13 10%
Engineering 9 7%
Computer Science 9 7%
Business, Management and Accounting 5 4%
Other 21 15%
Unknown 50 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 September 2021.
All research outputs
#2,490,711
of 23,109,468 outputs
Outputs from BMC Medical Research Methodology
#391
of 2,035 outputs
Outputs of similar age
#55,207
of 351,751 outputs
Outputs of similar age from BMC Medical Research Methodology
#22
of 68 outputs
Altmetric has tracked 23,109,468 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 80% 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 351,751 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 84% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.