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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Computable Phenotype Model for Classification of Men Who Have Sex With Men Within a Large Linked Database of Laboratory, Surveillance, and Administrative Healthcare Records
|
|---|---|
| Published in |
Frontiers in Digital Health, October 2020
|
| DOI | 10.3389/fdgth.2020.547324 |
| Pubmed ID | |
| Authors |
Travis Salway, Zahid A. Butt, Stanley Wong, Younathan Abdia, Robert Balshaw, Ashleigh J. Rich, Aidan Ablona, Jason Wong, Troy Grennan, Amanda Yu, Maria Alvarez, Carmine Rossi, Mark Gilbert, Mel Krajden, Naveed Z. Janjua |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 23% |
| Other | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 7 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Mathematics | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Psychology | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 8 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 November 2021.
All research outputs
#4,291,863
of 23,310,485 outputs
Outputs from Frontiers in Digital Health
#152
of 579 outputs
Outputs of similar age
#106,080
of 414,868 outputs
Outputs of similar age from Frontiers in Digital Health
#2
of 15 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 73% 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 414,868 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 73% of its contemporaries.
We're also able to compare this research output to 15 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.