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Mendeley readers
Attention Score in Context
| Title |
CAERUS: Predicting CAncER oUtcomeS Using Relationship between Protein Structural Information, Protein Networks, Gene Expression Data, and Mutation Data
|
|---|---|
| Published in |
PLoS Computational Biology, March 2011
|
| DOI | 10.1371/journal.pcbi.1001114 |
| Pubmed ID | |
| Authors |
Kelvin Xi Zhang, B. F. Francis Ouellette |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| Canada | 2 | 2% |
| Brazil | 1 | 1% |
| France | 1 | 1% |
| Germany | 1 | 1% |
| Belgium | 1 | 1% |
| Egypt | 1 | 1% |
| Spain | 1 | 1% |
| China | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 82 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 32% |
| Student > Ph. D. Student | 22 | 23% |
| Professor > Associate Professor | 9 | 9% |
| Professor | 7 | 7% |
| Other | 6 | 6% |
| Other | 15 | 16% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 42% |
| Computer Science | 12 | 13% |
| Medicine and Dentistry | 12 | 13% |
| Biochemistry, Genetics and Molecular Biology | 12 | 13% |
| Engineering | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 9 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 June 2011.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#7,479
of 8,958 outputs
Outputs of similar age
#95,277
of 120,786 outputs
Outputs of similar age from PLoS Computational Biology
#46
of 63 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 120,786 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.