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X Demographics
Mendeley readers
Attention Score in Context
Title |
Applying semantic web technologies for phenome-wide scan using an electronic health record linked Biobank
|
---|---|
Published in |
Journal of Biomedical Semantics, December 2012
|
DOI | 10.1186/2041-1480-3-10 |
Pubmed ID | |
Authors |
Jyotishman Pathak, Richard C Kiefer, Suzette J Bielinski, Christopher G Chute |
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 Kingdom | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
United Kingdom | 2 | 2% |
Korea, Republic of | 1 | 1% |
Spain | 1 | 1% |
Germany | 1 | 1% |
Unknown | 79 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 20% |
Student > Ph. D. Student | 16 | 18% |
Student > Master | 14 | 16% |
Other | 8 | 9% |
Professor > Associate Professor | 6 | 7% |
Other | 16 | 18% |
Unknown | 10 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 28 | 32% |
Agricultural and Biological Sciences | 15 | 17% |
Medicine and Dentistry | 13 | 15% |
Social Sciences | 7 | 8% |
Biochemistry, Genetics and Molecular Biology | 4 | 5% |
Other | 8 | 9% |
Unknown | 12 | 14% |
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 22 April 2014.
All research outputs
#3,238,603
of 22,691,736 outputs
Outputs from Journal of Biomedical Semantics
#56
of 364 outputs
Outputs of similar age
#31,924
of 261,298 outputs
Outputs of similar age from Journal of Biomedical Semantics
#7
of 31 outputs
Altmetric has tracked 22,691,736 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 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 84% 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 261,298 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 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.