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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction and characterization of protein-protein interaction networks in swine
|
|---|---|
| Published in |
Proteome Science, January 2012
|
| DOI | 10.1186/1477-5956-10-2 |
| Pubmed ID | |
| Authors |
Fen Wang, Min Liu, Baoxing Song, Dengyun Li, Huimin Pei, Yang Guo, Jingfei Huang, Deli Zhang |
| Abstract |
Studying the large-scale protein-protein interaction (PPI) network is important in understanding biological processes. The current research presents the first PPI map of swine, which aims to give new insights into understanding their biological processes. |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 1 | 20% |
| India | 1 | 20% |
| Japan | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| China | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 39 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 30% |
| Researcher | 11 | 26% |
| Student > Master | 6 | 14% |
| Student > Bachelor | 5 | 12% |
| Student > Postgraduate | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 72% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Computer Science | 3 | 7% |
| Engineering | 1 | 2% |
| Unknown | 5 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 January 2012.
All research outputs
#6,910,810
of 22,661,413 outputs
Outputs from Proteome Science
#33
of 188 outputs
Outputs of similar age
#63,824
of 243,229 outputs
Outputs of similar age from Proteome Science
#1
of 7 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 188 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 81% 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 243,229 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them