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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simulation and minimization: technical advances for factorial experiments designed to optimize clinical interventions
|
|---|---|
| Published in |
BMC Medical Research Methodology, December 2019
|
| DOI | 10.1186/s12874-019-0883-9 |
| Pubmed ID | |
| Authors |
Jocelyn Kuhn, Radley Christopher Sheldrick, Sarabeth Broder-Fingert, Andrea Chu, Lisa Fortuna, Megan Jordan, Dana Rubin, Emily Feinberg |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Student > Doctoral Student | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 18% |
| Nursing and Health Professions | 3 | 14% |
| Psychology | 2 | 9% |
| Unspecified | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 11 February 2020.
All research outputs
#1,975,399
of 23,182,015 outputs
Outputs from BMC Medical Research Methodology
#286
of 2,045 outputs
Outputs of similar age
#49,589
of 458,899 outputs
Outputs of similar age from BMC Medical Research Methodology
#14
of 43 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 86% 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 458,899 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 89% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.