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Identifying optimal indicators and purposes of population segmentation through engagement of key stakeholders: a qualitative study

Overview of attention for article published in Health Research Policy and Systems, February 2020
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Mentioned by

twitter
2 X users

Citations

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8 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Identifying optimal indicators and purposes of population segmentation through engagement of key stakeholders: a qualitative study
Published in
Health Research Policy and Systems, February 2020
DOI 10.1186/s12961-019-0519-x
Pubmed ID
Authors

Sungwon Yoon, Hendra Goh, Yu Heng Kwan, Julian Thumboo, Lian Leng Low

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Master 9 14%
Student > Ph. D. Student 9 14%
Student > Doctoral Student 3 5%
Lecturer 2 3%
Other 8 13%
Unknown 23 36%
Readers by discipline Count As %
Psychology 7 11%
Medicine and Dentistry 6 9%
Business, Management and Accounting 5 8%
Social Sciences 4 6%
Nursing and Health Professions 4 6%
Other 10 16%
Unknown 28 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 February 2020.
All research outputs
#18,052,658
of 23,195,584 outputs
Outputs from Health Research Policy and Systems
#1,149
of 1,230 outputs
Outputs of similar age
#253,721
of 361,213 outputs
Outputs of similar age from Health Research Policy and Systems
#29
of 34 outputs
Altmetric has tracked 23,195,584 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,230 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 4th percentile – i.e., 4% 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 361,213 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.