You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Chapter title |
Rosetta Ligand Docking with Flexible XML Protocols.
|
|---|---|
| Chapter number | 10 |
| Book title |
Computational Drug Discovery and Design
|
| Published in |
Methods in molecular biology, December 2011
|
| DOI | 10.1007/978-1-61779-465-0_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-464-3, 978-1-61779-465-0
|
| Authors |
Lemmon G, Meiler J, Gordon Lemmon, Jens Meiler, Lemmon, Gordon, Meiler, Jens |
| Abstract |
RosettaLigand is premiere software for predicting how a protein and a small molecule interact. Benchmark studies demonstrate that 70% of the top scoring RosettaLigand predicted interfaces are within 2Å RMSD from the crystal structure [1]. The latest release of Rosetta ligand software includes many new features, such as (1) docking of multiple ligands simultaneously, (2) representing ligands as fragments for greater flexibility, (3) redesign of the interface during docking, and (4) an XML script based interface that gives the user full control of the ligand docking protocol. |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 138 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 23% |
| Researcher | 27 | 19% |
| Student > Bachelor | 23 | 16% |
| Professor > Associate Professor | 7 | 5% |
| Student > Master | 7 | 5% |
| Other | 18 | 13% |
| Unknown | 26 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 22% |
| Chemistry | 31 | 22% |
| Agricultural and Biological Sciences | 21 | 15% |
| Chemical Engineering | 7 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Other | 14 | 10% |
| Unknown | 32 | 23% |
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 18 February 2012.
All research outputs
#12,853,296
of 22,663,150 outputs
Outputs from Methods in molecular biology
#3,258
of 13,021 outputs
Outputs of similar age
#142,643
of 243,133 outputs
Outputs of similar age from Methods in molecular biology
#220
of 450 outputs
Altmetric has tracked 22,663,150 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 13,021 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 74% 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 243,133 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 450 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 50% of its contemporaries.