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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SEPIA: simulation-based evaluation of prioritization algorithms
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2021
|
| DOI | 10.1186/s12911-021-01536-4 |
| Pubmed ID | |
| Authors |
Kimberly Almaraz, Tyler Jang, McKenna Lewis, Titan Ngo, Miranda Song, Niema Moshiri |
X Demographics
The data shown below were collected from the profiles of 5 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 | 60% |
| Guinea-Bissau | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Unspecified | 1 | 11% |
| Librarian | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 11% |
| Nursing and Health Professions | 1 | 11% |
| Computer Science | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 5 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 June 2021.
All research outputs
#7,337,096
of 23,308,124 outputs
Outputs from BMC Medical Informatics and Decision Making
#733
of 2,024 outputs
Outputs of similar age
#157,536
of 448,181 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#23
of 62 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 63% 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 448,181 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 64% of its contemporaries.
We're also able to compare this research output to 62 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 62% of its contemporaries.