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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inferring high-confidence human protein-protein interactions
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-79 |
| Pubmed ID | |
| Authors |
Xueping Yu, Anders Wallqvist, Jaques Reifman |
| Abstract |
As numerous experimental factors drive the acquisition, identification, and interpretation of protein-protein interactions (PPIs), aggregated assemblies of human PPI data invariably contain experiment-dependent noise. Ascertaining the reliability of PPIs collected from these diverse studies and scoring them to infer high-confidence networks is a non-trivial task. Moreover, a large number of PPIs share the same number of reported occurrences, making it impossible to distinguish the reliability of these PPIs and rank-order them. For example, for the data analyzed here, we found that the majority (>83%) of currently available human PPIs have been reported only once. |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 2 | 3% |
| Brazil | 2 | 3% |
| Germany | 1 | 1% |
| Italy | 1 | 1% |
| Ireland | 1 | 1% |
| Switzerland | 1 | 1% |
| India | 1 | 1% |
| Malaysia | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 56 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 45% |
| Student > Ph. D. Student | 16 | 23% |
| Professor > Associate Professor | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 1 | 1% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 59% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Computer Science | 9 | 13% |
| Medicine and Dentistry | 4 | 6% |
| Engineering | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 3 | 4% |
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 09 June 2012.
All research outputs
#13,903,378
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#4,306
of 7,400 outputs
Outputs of similar age
#92,948
of 165,066 outputs
Outputs of similar age from BMC Bioinformatics
#58
of 101 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 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 38th percentile – i.e., 38% 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 165,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.