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X Demographics
Mendeley readers
Attention Score in Context
Title |
PhenCards: a data resource linking human phenotype information to biomedical knowledge
|
---|---|
Published in |
Genome Medicine, May 2021
|
DOI | 10.1186/s13073-021-00909-8 |
Pubmed ID | |
Authors |
James M. Havrilla, Cong Liu, Xiangchen Dong, Chunhua Weng, Kai Wang |
X Demographics
The data shown below were collected from the profiles of 12 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 | 25% |
France | 2 | 17% |
Iceland | 1 | 8% |
United Kingdom | 1 | 8% |
Unknown | 5 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 50% |
Members of the public | 6 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 2 | 11% |
Student > Bachelor | 2 | 11% |
Researcher | 2 | 11% |
Student > Master | 2 | 11% |
Student > Doctoral Student | 1 | 5% |
Other | 3 | 16% |
Unknown | 7 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 26% |
Medicine and Dentistry | 2 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Other | 0 | 0% |
Unknown | 9 | 47% |
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 26 May 2021.
All research outputs
#2,318,004
of 25,402,528 outputs
Outputs from Genome Medicine
#518
of 1,587 outputs
Outputs of similar age
#58,524
of 459,542 outputs
Outputs of similar age from Genome Medicine
#27
of 55 outputs
Altmetric has tracked 25,402,528 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 67% 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 459,542 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 87% of its contemporaries.
We're also able to compare this research output to 55 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 52% of its contemporaries.