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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simultaneous Identification of Multiple Driver Pathways in Cancer
|
|---|---|
| Published in |
PLoS Computational Biology, May 2013
|
| DOI | 10.1371/journal.pcbi.1003054 |
| Pubmed ID | |
| Authors |
Mark D. M. Leiserson, Dima Blokh, Roded Sharan, Benjamin J. Raphael |
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% |
| Norway | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| United Kingdom | 5 | 2% |
| France | 2 | <1% |
| Korea, Republic of | 2 | <1% |
| India | 2 | <1% |
| Belgium | 2 | <1% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Ecuador | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 246 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 28% |
| Researcher | 63 | 23% |
| Student > Master | 31 | 11% |
| Student > Doctoral Student | 15 | 5% |
| Professor > Associate Professor | 14 | 5% |
| Other | 45 | 16% |
| Unknown | 28 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 109 | 40% |
| Biochemistry, Genetics and Molecular Biology | 48 | 18% |
| Computer Science | 42 | 15% |
| Medicine and Dentistry | 16 | 6% |
| Engineering | 8 | 3% |
| Other | 15 | 5% |
| Unknown | 35 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 21 September 2021.
All research outputs
#5,344,962
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,075
of 8,964 outputs
Outputs of similar age
#43,709
of 208,236 outputs
Outputs of similar age from PLoS Computational Biology
#32
of 92 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 54% 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 208,236 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 78% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.