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Mendeley readers
Attention Score in Context
Title |
GIANT: pattern analysis of molecular interactions in 3D structures of protein–small ligand complexes
|
---|---|
Published in |
BMC Bioinformatics, January 2014
|
DOI | 10.1186/1471-2105-15-12 |
Pubmed ID | |
Authors |
Kota Kasahara, Kengo Kinoshita |
Abstract |
Interpretation of binding modes of protein-small ligand complexes from 3D structure data is essential for understanding selective ligand recognition by proteins. It is often performed by visual inspection and sometimes largely depends on a priori knowledge about typical interactions such as hydrogen bonds and π-π stacking. Because it can introduce some biases due to scientists' subjective perspectives, more objective viewpoints considering a wide range of interactions are required. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 25% |
Norway | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 4% |
Chile | 1 | 2% |
Norway | 1 | 2% |
India | 1 | 2% |
Czechia | 1 | 2% |
United Kingdom | 1 | 2% |
United States | 1 | 2% |
Unknown | 41 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 27% |
Researcher | 13 | 27% |
Professor | 3 | 6% |
Student > Bachelor | 3 | 6% |
Other | 3 | 6% |
Other | 9 | 18% |
Unknown | 5 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 29% |
Computer Science | 9 | 18% |
Biochemistry, Genetics and Molecular Biology | 8 | 16% |
Chemistry | 8 | 16% |
Mathematics | 1 | 2% |
Other | 4 | 8% |
Unknown | 5 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 January 2014.
All research outputs
#6,935,159
of 22,739,983 outputs
Outputs from BMC Bioinformatics
#2,683
of 7,266 outputs
Outputs of similar age
#83,552
of 306,547 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 101 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 306,547 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 101 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 67% of its contemporaries.