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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simulating complex patient populations with hierarchical learning effects to support methods development for post-market surveillance
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2023
|
| DOI | 10.1186/s12874-023-01913-9 |
| Pubmed ID | |
| Authors |
Sharon E. Davis, Henry Ssemaganda, Jejo D. Koola, Jialin Mao, Dax Westerman, Theodore Speroff, Usha S. Govindarajulu, Craig R. Ramsay, Art Sedrakyan, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 14% |
| Lecturer | 1 | 14% |
| Unknown | 5 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 5 | 71% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 24 January 2024.
All research outputs
#3,666,704
of 25,223,158 outputs
Outputs from BMC Medical Research Methodology
#572
of 2,254 outputs
Outputs of similar age
#68,503
of 408,984 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 59 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,254 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 74% 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 408,984 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 83% 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 has done well, scoring higher than 86% of its contemporaries.