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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In simulated data and health records, latent class analysis was the optimum multimorbidity clustering algorithm
|
|---|---|
| Published in |
Journal of Clinical Epidemiology, October 2022
|
| DOI | 10.1016/j.jclinepi.2022.10.011 |
| Pubmed ID | |
| Authors |
Linda Nichols, Tom Taverner, Francesca Crowe, Sylvia Richardson, Christopher Yau, Steven Kiddle, Paul Kirk, Jessica Barrett, Krishnarajah Nirantharakumar, Simon Griffin, Duncan Edwards, Tom Marshall |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 2 | 29% |
| Japan | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Lecturer | 5 | 12% |
| Unspecified | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 17 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 17% |
| Unspecified | 3 | 7% |
| Computer Science | 3 | 7% |
| Engineering | 2 | 5% |
| Mathematics | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 20 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 November 2022.
All research outputs
#7,156,351
of 25,394,764 outputs
Outputs from Journal of Clinical Epidemiology
#2,381
of 4,785 outputs
Outputs of similar age
#128,994
of 438,739 outputs
Outputs of similar age from Journal of Clinical Epidemiology
#36
of 59 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,785 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 49th percentile – i.e., 49% 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 438,739 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 70% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.