You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Predicting Positive p53 Cancer Rescue Regions Using Most Informative Positive (MIP) Active Learning
|
|---|---|
| Published in |
PLoS Computational Biology, September 2009
|
| DOI | 10.1371/journal.pcbi.1000498 |
| Pubmed ID | |
| Authors |
Samuel A. Danziger, Roberta Baronio, Lydia Ho, Linda Hall, Kirsty Salmon, G. Wesley Hatfield, Peter Kaiser, Richard H. Lathrop |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 7% |
| Netherlands | 1 | 1% |
| Canada | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 73 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 30% |
| Researcher | 17 | 21% |
| Student > Master | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Student > Postgraduate | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 13 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 26% |
| Biochemistry, Genetics and Molecular Biology | 14 | 17% |
| Computer Science | 13 | 16% |
| Engineering | 5 | 6% |
| Chemistry | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 18 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 August 2017.
All research outputs
#8,693,470
of 25,756,911 outputs
Outputs from PLoS Computational Biology
#5,679
of 9,032 outputs
Outputs of similar age
#36,967
of 103,641 outputs
Outputs of similar age from PLoS Computational Biology
#24
of 50 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one is in the 33rd percentile – i.e., 33% 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 103,641 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.