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Mendeley readers
Attention Score in Context
| Title |
PIPE: a protein-protein interaction prediction engine based on the re-occurring short polypeptide sequences between known interacting protein pairs
|
|---|---|
| Published in |
BMC Bioinformatics, July 2006
|
| DOI | 10.1186/1471-2105-7-365 |
| Pubmed ID | |
| Authors |
Sylvain Pitre, Frank Dehne, Albert Chan, Jim Cheetham, Alex Duong, Andrew Emili, Marinella Gebbia, Jack Greenblatt, Mathew Jessulat, Nevan Krogan, Xuemei Luo, Ashkan Golshani |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| Canada | 3 | 2% |
| Australia | 2 | 1% |
| United States | 2 | 1% |
| United Kingdom | 2 | 1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Tunisia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 179 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 24% |
| Student > Master | 32 | 16% |
| Researcher | 31 | 16% |
| Professor > Associate Professor | 20 | 10% |
| Student > Bachelor | 15 | 8% |
| Other | 26 | 13% |
| Unknown | 28 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 41% |
| Biochemistry, Genetics and Molecular Biology | 39 | 20% |
| Computer Science | 25 | 13% |
| Engineering | 8 | 4% |
| Medicine and Dentistry | 4 | 2% |
| Other | 12 | 6% |
| Unknown | 30 | 15% |
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 11 June 2019.
All research outputs
#7,575,658
of 23,102,082 outputs
Outputs from BMC Bioinformatics
#3,051
of 7,329 outputs
Outputs of similar age
#22,958
of 65,849 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 35 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,329 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 50% 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 65,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.