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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PCDq: human protein complex database with quality index which summarizes different levels of evidences of protein complexes predicted from H-Invitational protein-protein interactions integrative dataset
|
|---|---|
| Published in |
BMC Systems Biology, December 2012
|
| DOI | 10.1186/1752-0509-6-s2-s7 |
| Pubmed ID | |
| Authors |
Shingo Kikugawa, Kensaku Nishikata, Katsuhiko Murakami, Yoshiharu Sato, Mami Suzuki, Md Altaf-Ul-Amin, Shigehiko Kanaya, Tadashi Imanishi |
| Abstract |
Proteins interact with other proteins or biomolecules in complexes to perform cellular functions. Existing protein-protein interaction (PPI) databases and protein complex databases for human proteins are not organized to provide protein complex information or facilitate the discovery of novel subunits. Data integration of PPIs focused specifically on protein complexes, subunits, and their functions. Predicted candidate complexes or subunits are also important for experimental biologists. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| India | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 37 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 27% |
| Professor | 7 | 17% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Master | 5 | 12% |
| Student > Bachelor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 44% |
| Biochemistry, Genetics and Molecular Biology | 10 | 24% |
| Computer Science | 3 | 7% |
| Arts and Humanities | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 1 | 2% |
| Unknown | 5 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 January 2013.
All research outputs
#14,158,070
of 22,689,790 outputs
Outputs from BMC Systems Biology
#544
of 1,142 outputs
Outputs of similar age
#166,309
of 278,740 outputs
Outputs of similar age from BMC Systems Biology
#20
of 56 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 47th percentile – i.e., 47% 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 278,740 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% 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 has gotten more attention than average, scoring higher than 57% of its contemporaries.