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Mendeley readers
Attention Score in Context
| Title |
WONKA: objective novel complex analysis for ensembles of protein–ligand structures
|
|---|---|
| Published in |
Perspectives in Drug Discovery and Design, September 2015
|
| DOI | 10.1007/s10822-015-9866-z |
| Pubmed ID | |
| Authors |
A. R. Bradley, I. D. Wall, F. von Delft, D. V. S. Green, C. M. Deane, B. D. Marsden |
| Abstract |
WONKA is a tool for the systematic analysis of an ensemble of protein-ligand structures. It makes the identification of conserved and unusual features within such an ensemble straightforward. WONKA uses an intuitive workflow to process structural co-ordinates. Ligand and protein features are summarised and then presented within an interactive web application. WONKA's power in consolidating and summarising large amounts of data is described through the analysis of three bromodomain datasets. Furthermore, and in contrast to many current methods, WONKA relates analysis to individual ligands, from which we find unusual and erroneous binding modes. Finally the use of WONKA as an annotation tool to share observations about structures is demonstrated. WONKA is freely available to download and install locally or can be used online at http://wonka.sgc.ox.ac.uk . |
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 % |
|---|---|---|
| Unknown | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 36% |
| Student > Ph. D. Student | 11 | 23% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 14 | 30% |
| Biochemistry, Genetics and Molecular Biology | 9 | 19% |
| Agricultural and Biological Sciences | 8 | 17% |
| Computer Science | 5 | 11% |
| Engineering | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 7 | 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 02 August 2016.
All research outputs
#22,830,981
of 25,457,297 outputs
Outputs from Perspectives in Drug Discovery and Design
#868
of 949 outputs
Outputs of similar age
#243,995
of 284,809 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#9
of 11 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% 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 284,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.