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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Polyphony: superposition independent methods for ensemble-based drug discovery
|
|---|---|
| Published in |
BMC Bioinformatics, September 2014
|
| DOI | 10.1186/1471-2105-15-324 |
| Pubmed ID | |
| Authors |
William R Pitt, Rinaldo W Montalvão, Tom L Blundell |
| Abstract |
Structure-based drug design is an iterative process, following cycles of structural biology, computer-aided design, synthetic chemistry and bioassay. In favorable circumstances, this process can lead to the structures of hundreds of protein-ligand crystal structures. In addition, molecular dynamics simulations are increasingly being used to further explore the conformational landscape of these complexes. Currently, methods capable of the analysis of ensembles of crystal structures and MD trajectories are limited and usually rely upon least squares superposition of coordinates. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Brazil | 2 | 4% |
| Germany | 1 | 2% |
| Portugal | 1 | 2% |
| Unknown | 45 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 25% |
| Student > Ph. D. Student | 12 | 24% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 6 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 31% |
| Chemistry | 13 | 25% |
| Biochemistry, Genetics and Molecular Biology | 9 | 18% |
| Computer Science | 3 | 6% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 5 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 May 2023.
All research outputs
#4,546,095
of 24,221,802 outputs
Outputs from BMC Bioinformatics
#1,689
of 7,506 outputs
Outputs of similar age
#47,871
of 257,267 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 106 outputs
Altmetric has tracked 24,221,802 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 76% 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 257,267 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 80% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.