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Mendeley readers
Attention Score in Context
| Title |
Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
|
|---|---|
| Published in |
BMC Bioinformatics, January 2007
|
| DOI | 10.1186/1471-2105-8-6 |
| Pubmed ID | |
| Authors |
Roger A Craig, Li Liao |
| Abstract |
Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-evolutionary information of the interacting partners, e.g., correlations between distance matrices, where each matrix stores the pairwise distances between a protein and its orthologs from a group of reference genomes. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 4% |
| Canada | 2 | 4% |
| Sweden | 1 | 2% |
| India | 1 | 2% |
| Spain | 1 | 2% |
| Greece | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 43 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 23% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Master | 7 | 13% |
| Student > Postgraduate | 5 | 10% |
| Student > Bachelor | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 42% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Computer Science | 6 | 12% |
| Medicine and Dentistry | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 9 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 May 2021.
All research outputs
#5,503,975
of 22,661,413 outputs
Outputs from BMC Bioinformatics
#1,997
of 7,241 outputs
Outputs of similar age
#31,522
of 157,707 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 51 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,241 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 157,707 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 79% of its contemporaries.
We're also able to compare this research output to 51 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 68% of its contemporaries.