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Mendeley readers
Attention Score in Context
| Title |
An evaluation of human protein-protein interaction data in the public domain
|
|---|---|
| Published in |
BMC Bioinformatics, December 2006
|
| DOI | 10.1186/1471-2105-7-s5-s19 |
| Pubmed ID | |
| Authors |
Suresh Mathivanan, Balamurugan Periaswamy, TKB Gandhi, Kumaran Kandasamy, Shubha Suresh, Riaz Mohmood, YL Ramachandra, Akhilesh Pandey |
| Abstract |
Protein-protein interaction (PPI) databases have become a major resource for investigating biological networks and pathways in cells. A number of publicly available repositories for human PPIs are currently available. Each of these databases has their own unique features with a large variation in the type and depth of their annotations. |
Mendeley readers
The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| Germany | 6 | 2% |
| United Kingdom | 4 | 2% |
| Japan | 3 | 1% |
| Switzerland | 3 | 1% |
| India | 3 | 1% |
| France | 2 | <1% |
| Brazil | 2 | <1% |
| Belgium | 2 | <1% |
| Other | 12 | 5% |
| Unknown | 220 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 83 | 31% |
| Student > Ph. D. Student | 71 | 27% |
| Student > Master | 22 | 8% |
| Professor > Associate Professor | 18 | 7% |
| Student > Bachelor | 15 | 6% |
| Other | 40 | 15% |
| Unknown | 15 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 145 | 55% |
| Biochemistry, Genetics and Molecular Biology | 36 | 14% |
| Computer Science | 26 | 10% |
| Medicine and Dentistry | 8 | 3% |
| Chemistry | 6 | 2% |
| Other | 22 | 8% |
| Unknown | 21 | 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 22 February 2022.
All research outputs
#7,602,582
of 23,179,757 outputs
Outputs from BMC Bioinformatics
#3,057
of 7,344 outputs
Outputs of similar age
#42,339
of 157,547 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 56 outputs
Altmetric has tracked 23,179,757 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 7,344 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 157,547 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 56 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.