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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of different functional prediction scores using a gene-based permutation model for identifying cancer driver genes
|
|---|---|
| Published in |
BMC Medical Genomics, January 2019
|
| DOI | 10.1186/s12920-018-0452-9 |
| Pubmed ID | |
| Authors |
Alice Djotsa Nono, Ken Chen, Xiaoming Liu |
X Demographics
The data shown below were collected from the profiles of 14 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 | 5 | 36% |
| India | 2 | 14% |
| Switzerland | 1 | 7% |
| Turkey | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 71% |
| Members of the public | 4 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 6 | 16% |
| Student > Master | 4 | 11% |
| Student > Doctoral Student | 2 | 5% |
| Other | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 14 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 29% |
| Computer Science | 3 | 8% |
| Mathematics | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 16 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 14 February 2019.
All research outputs
#4,107,635
of 23,577,654 outputs
Outputs from BMC Medical Genomics
#191
of 1,262 outputs
Outputs of similar age
#92,102
of 440,495 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 44 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,262 research outputs from this source. They receive a mean Attention Score of 4.8. 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 440,495 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 79% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.