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Attention Score in Context
Title |
The scoring of poses in protein-protein docking: current capabilities and future directions
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Published in |
BMC Bioinformatics, October 2013
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DOI | 10.1186/1471-2105-14-286 |
Pubmed ID | |
Authors |
Iain H Moal, Mieczyslaw Torchala, Paul A Bates, Juan Fernández-Recio |
Abstract |
Protein-protein docking, which aims to predict the structure of a protein-protein complex from its unbound components, remains an unresolved challenge in structural bioinformatics. An important step is the ranking of docked poses using a scoring function, for which many methods have been developed. There is a need to explore the differences and commonalities of these methods with each other, as well as with functions developed in the fields of molecular dynamics and homology modelling. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
Portugal | 1 | 17% |
Spain | 1 | 17% |
Japan | 1 | 17% |
India | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 50% |
Members of the public | 2 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | <1% |
France | 1 | <1% |
Korea, Republic of | 1 | <1% |
Brazil | 1 | <1% |
Finland | 1 | <1% |
United Kingdom | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Romania | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 105 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 29% |
Researcher | 27 | 23% |
Student > Master | 13 | 11% |
Student > Bachelor | 7 | 6% |
Student > Doctoral Student | 5 | 4% |
Other | 17 | 15% |
Unknown | 13 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 30% |
Biochemistry, Genetics and Molecular Biology | 24 | 21% |
Computer Science | 12 | 10% |
Chemistry | 10 | 9% |
Engineering | 5 | 4% |
Other | 14 | 12% |
Unknown | 16 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 October 2013.
All research outputs
#13,363,602
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#3,690
of 7,454 outputs
Outputs of similar age
#105,654
of 209,974 outputs
Outputs of similar age from BMC Bioinformatics
#43
of 99 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 48th percentile – i.e., 48% 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 209,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 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.