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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network
|
|---|---|
| Published in |
BioData Mining, December 2013
|
| DOI | 10.1186/1756-0381-6-23 |
| Pubmed ID | |
| Authors |
Dokyoon Kim, Ruowang Li, Scott M Dudek, Marylyn D Ritchie |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Canada | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Brazil | 1 | <1% |
| Unknown | 117 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 31% |
| Researcher | 27 | 22% |
| Student > Master | 15 | 12% |
| Student > Doctoral Student | 8 | 7% |
| Student > Postgraduate | 6 | 5% |
| Other | 16 | 13% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 26% |
| Biochemistry, Genetics and Molecular Biology | 27 | 22% |
| Computer Science | 24 | 20% |
| Medicine and Dentistry | 13 | 11% |
| Engineering | 9 | 7% |
| Other | 4 | 3% |
| Unknown | 12 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 19 October 2014.
All research outputs
#3,116,426
of 26,017,215 outputs
Outputs from BioData Mining
#55
of 325 outputs
Outputs of similar age
#34,426
of 326,773 outputs
Outputs of similar age from BioData Mining
#3
of 8 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 83% 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 326,773 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 89% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.