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Mendeley readers
Attention Score in Context
| Title |
Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling
|
|---|---|
| Published in |
PLoS Computational Biology, January 2009
|
| DOI | 10.1371/journal.pcbi.1000267 |
| Pubmed ID | |
| Authors |
Stefan Engelen, Ladislas A. Trojan, Sophie Sacquin-Mora, Richard Lavery, Alessandra Carbone |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Germany | 2 | 2% |
| France | 1 | 1% |
| Italy | 1 | 1% |
| Australia | 1 | 1% |
| Switzerland | 1 | 1% |
| India | 1 | 1% |
| Sweden | 1 | 1% |
| Spain | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 70 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 26% |
| Researcher | 21 | 25% |
| Professor > Associate Professor | 9 | 11% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 14 | 17% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 46% |
| Biochemistry, Genetics and Molecular Biology | 15 | 18% |
| Computer Science | 8 | 10% |
| Chemistry | 3 | 4% |
| Physics and Astronomy | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 7 | 8% |
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 16 July 2023.
All research outputs
#8,713,411
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#5,683
of 9,043 outputs
Outputs of similar age
#54,201
of 186,642 outputs
Outputs of similar age from PLoS Computational Biology
#19
of 30 outputs
Altmetric has tracked 25,806,080 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 9,043 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 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 186,642 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.