| 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 |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 44% |
| United Kingdom | 2 | 22% |
| Sweden | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Practitioners (doctors, other healthcare professionals) | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 149 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 13% |
| Researcher | 18 | 12% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 7 | 5% |
| Other | 7 | 5% |
| Other | 22 | 15% |
| Unknown | 63 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 16% |
| Nursing and Health Professions | 13 | 9% |
| Business, Management and Accounting | 8 | 5% |
| Social Sciences | 7 | 5% |
| Computer Science | 6 | 4% |
| Other | 21 | 14% |
| Unknown | 70 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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
#2,622,146
of 25,837,817 outputs
Outputs from Systematic Reviews
#439
of 2,249 outputs
Outputs of similar age
#51,963
of 355,582 outputs
Outputs of similar age from Systematic Reviews
#13
of 54 outputs
Altmetric has tracked 25,837,817 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 2,249 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. 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 355,582 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 85% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.