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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
  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
58 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
Authors

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

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 24%
Student > Ph. D. Student 11 19%
Student > Master 7 12%
Student > Doctoral Student 6 10%
Other 4 7%
Other 7 12%
Unknown 9 16%
Readers by discipline Count As %
Medicine and Dentistry 17 29%
Nursing and Health Professions 8 14%
Decision Sciences 3 5%
Computer Science 3 5%
Engineering 2 3%
Other 9 16%
Unknown 16 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 November 2018.
All research outputs
#3,718,636
of 15,251,329 outputs
Outputs from BMC Medical Research Methodology
#531
of 1,426 outputs
Outputs of similar age
#99,872
of 319,901 outputs
Outputs of similar age from BMC Medical Research Methodology
#87
of 161 outputs
Altmetric has tracked 15,251,329 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,426 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 59% 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 319,901 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 67% of its contemporaries.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.