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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intrinsic Capacity vs. Multimorbidity: A Function-Centered Construct Predicts Disability Better Than a Disease-Based Approach in a Community-Dwelling Older Population Cohort
|
|---|---|
| Published in |
Frontiers in Medicine, September 2021
|
| DOI | 10.3389/fmed.2021.753295 |
| Pubmed ID | |
| Authors |
Jing Zhao, Jagadish K. Chhetri, Yi Chang, Zheng Zheng, Lina Ma, Piu Chan |
X Demographics
The data shown below were collected from the profiles of 19 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 | 3 | 16% |
| Spain | 1 | 5% |
| Israel | 1 | 5% |
| Australia | 1 | 5% |
| United Kingdom | 1 | 5% |
| France | 1 | 5% |
| Malaysia | 1 | 5% |
| Uganda | 1 | 5% |
| Unknown | 9 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 4 | 21% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 17% |
| Professor | 5 | 14% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 17 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 14% |
| Nursing and Health Professions | 3 | 8% |
| Unspecified | 2 | 6% |
| Arts and Humanities | 1 | 3% |
| Philosophy | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 21 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 05 November 2021.
All research outputs
#3,068,140
of 24,618,500 outputs
Outputs from Frontiers in Medicine
#834
of 6,751 outputs
Outputs of similar age
#67,284
of 425,360 outputs
Outputs of similar age from Frontiers in Medicine
#57
of 480 outputs
Altmetric has tracked 24,618,500 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,751 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 87% 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 425,360 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 480 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.