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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Arbitrary protein−protein docking targets biologically relevant interfaces
|
|---|---|
| Published in |
BMC Biophysics, May 2012
|
| DOI | 10.1186/2046-1682-5-7 |
| Pubmed ID | |
| Authors |
Juliette Martin, Richard Lavery |
| Abstract |
Protein-protein recognition is of fundamental importance in the vast majority of biological processes. However, it has already been demonstrated that it is very hard to distinguish true complexes from false complexes in so-called cross-docking experiments, where binary protein complexes are separated and the isolated proteins are all docked against each other and scored. Does this result, at least in part, reflect a physical reality? False complexes could reflect possible nonspecific or weak associations. |
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 Kingdom | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 4% |
| United States | 2 | 4% |
| Australia | 1 | 2% |
| Japan | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 40 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 34% |
| Student > Ph. D. Student | 11 | 23% |
| Student > Bachelor | 4 | 9% |
| Professor | 4 | 9% |
| Student > Master | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 30% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Chemistry | 6 | 13% |
| Physics and Astronomy | 4 | 9% |
| Computer Science | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 5 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 16 September 2021.
All research outputs
#3,425,081
of 25,432,721 outputs
Outputs from BMC Biophysics
#9
of 74 outputs
Outputs of similar age
#21,593
of 176,436 outputs
Outputs of similar age from BMC Biophysics
#4
of 6 outputs
Altmetric has tracked 25,432,721 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 74 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 89% 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 176,436 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.