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Mendeley readers
Attention Score in Context
| Title |
MS-DOCK: Accurate multiple conformation generator and rigid docking protocol for multi-step virtual ligand screening
|
|---|---|
| Published in |
BMC Bioinformatics, April 2008
|
| DOI | 10.1186/1471-2105-9-184 |
| Pubmed ID | |
| Authors |
Nicolas Sauton, David Lagorce, Bruno O Villoutreix, Maria A Miteva |
| Abstract |
The number of protein targets with a known or predicted tri-dimensional structure and of drug-like chemical compounds is growing rapidly and so is the need for new therapeutic compounds or chemical probes. Performing flexible structure-based virtual screening computations on thousands of targets with millions of molecules is intractable to most laboratories nor indeed desirable. Since shape complementarity is of primary importance for most protein-ligand interactions, we have developed a tool/protocol based on rigid-body docking to select compounds that fit well into binding sites. |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 2 | 2% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Lithuania | 1 | <1% |
| India | 1 | <1% |
| Australia | 1 | <1% |
| Argentina | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 109 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 28% |
| Researcher | 24 | 20% |
| Student > Master | 15 | 12% |
| Professor > Associate Professor | 7 | 6% |
| Student > Bachelor | 7 | 6% |
| Other | 19 | 16% |
| Unknown | 16 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 20% |
| Biochemistry, Genetics and Molecular Biology | 24 | 20% |
| Chemistry | 23 | 19% |
| Computer Science | 11 | 9% |
| Engineering | 4 | 3% |
| Other | 13 | 11% |
| Unknown | 22 | 18% |
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 02 February 2011.
All research outputs
#12,846,160
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#3,776
of 7,234 outputs
Outputs of similar age
#66,811
of 81,721 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 45 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 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 45th percentile – i.e., 45% 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 81,721 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.