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X Demographics
Mendeley readers
Attention Score in Context
| Title |
QuaDMutNetEx: a method for detecting cancer driver genes with low mutation frequency
|
|---|---|
| Published in |
BMC Bioinformatics, March 2020
|
| DOI | 10.1186/s12859-020-3449-2 |
| Pubmed ID | |
| Authors |
Yahya Bokhari, Areej Alhareeri, Tomasz Arodz |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 9 | 39% |
| United Kingdom | 2 | 9% |
| India | 1 | 4% |
| Unknown | 11 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 74% |
| Scientists | 3 | 13% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 20% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Bachelor | 3 | 15% |
| Student > Master | 2 | 10% |
| Unspecified | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 35% |
| Computer Science | 4 | 20% |
| Medicine and Dentistry | 2 | 10% |
| Social Sciences | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 25% |
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 08 April 2020.
All research outputs
#2,069,425
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#507
of 7,454 outputs
Outputs of similar age
#50,026
of 370,342 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 115 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 370,342 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 86% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.