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Attention Score in Context
| Title |
Predicting protein-protein interactions in unbalanced data using the primary structure of proteins
|
|---|---|
| Published in |
BMC Bioinformatics, April 2010
|
| DOI | 10.1186/1471-2105-11-167 |
| Pubmed ID | |
| Authors |
Chi-Yuan Yu, Lih-Ching Chou, Darby Tien-Hao Chang |
| Abstract |
Elucidating protein-protein interactions (PPIs) is essential to constructing protein interaction networks and facilitating our understanding of the general principles of biological systems. Previous studies have revealed that interacting protein pairs can be predicted by their primary structure. Most of these approaches have achieved satisfactory performance on datasets comprising equal number of interacting and non-interacting protein pairs. However, this ratio is highly unbalanced in nature, and these techniques have not been comprehensively evaluated with respect to the effect of the large number of non-interacting pairs in realistic datasets. Moreover, since highly unbalanced distributions usually lead to large datasets, more efficient predictors are desired when handling such challenging tasks. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 3% |
| Canada | 3 | 3% |
| Japan | 2 | 2% |
| Brazil | 2 | 2% |
| India | 1 | <1% |
| Ecuador | 1 | <1% |
| Colombia | 1 | <1% |
| Belgium | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 87 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 28% |
| Researcher | 23 | 22% |
| Student > Master | 12 | 12% |
| Student > Bachelor | 7 | 7% |
| Professor > Associate Professor | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 16 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 42% |
| Computer Science | 23 | 22% |
| Biochemistry, Genetics and Molecular Biology | 11 | 11% |
| Medicine and Dentistry | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 16 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 November 2014.
All research outputs
#18,382,900
of 22,769,322 outputs
Outputs from BMC Bioinformatics
#6,307
of 7,273 outputs
Outputs of similar age
#85,861
of 95,155 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 66 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 95,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.