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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A call for biological data mining approaches in epidemiology
|
|---|---|
| Published in |
BioData Mining, January 2016
|
| DOI | 10.1186/s13040-015-0079-8 |
| Pubmed ID | |
| Authors |
Shannon M. Lynch, Jason H. Moore |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
| Canada | 1 | 6% |
| Saudi Arabia | 1 | 6% |
| Switzerland | 1 | 6% |
| France | 1 | 6% |
| Argentina | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 56% |
| Scientists | 5 | 28% |
| Practitioners (doctors, other healthcare professionals) | 3 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Master | 7 | 16% |
| Professor > Associate Professor | 5 | 12% |
| Student > Bachelor | 4 | 9% |
| Other | 7 | 16% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 21% |
| Medicine and Dentistry | 7 | 16% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Business, Management and Accounting | 3 | 7% |
| Environmental Science | 3 | 7% |
| Other | 11 | 26% |
| Unknown | 6 | 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 16 September 2016.
All research outputs
#3,111,749
of 22,837,982 outputs
Outputs from BioData Mining
#68
of 307 outputs
Outputs of similar age
#56,307
of 393,291 outputs
Outputs of similar age from BioData Mining
#3
of 20 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 77% 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 393,291 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 85% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.