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Mendeley readers
Attention Score in Context
Title |
A rotation-translation invariant molecular descriptor of partial charges and its use in ligand-based virtual screening
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Published in |
Journal of Cheminformatics, May 2014
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DOI | 10.1186/1758-2946-6-23 |
Pubmed ID | |
Authors |
Francois Berenger, Arnout Voet, Xiao Yin Lee, Kam YJ Zhang |
Abstract |
Measures of similarity for chemical molecules have been developed since the dawn of chemoinformatics. Molecular similarity has been measured by a variety of methods including molecular descriptor based similarity, common molecular fragments, graph matching and 3D methods such as shape matching. Similarity measures are widespread in practice and have proven to be useful in drug discovery. Because of our interest in electrostatics and high throughput ligand-based virtual screening, we sought to exploit the information contained in atomic coordinates and partial charges of a molecule. |
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 % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 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 % |
---|---|---|
Poland | 1 | 2% |
Germany | 1 | 2% |
Unknown | 45 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 21% |
Student > Ph. D. Student | 9 | 19% |
Student > Master | 5 | 11% |
Student > Bachelor | 4 | 9% |
Other | 4 | 9% |
Other | 6 | 13% |
Unknown | 9 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 13 | 28% |
Computer Science | 6 | 13% |
Agricultural and Biological Sciences | 5 | 11% |
Biochemistry, Genetics and Molecular Biology | 3 | 6% |
Engineering | 3 | 6% |
Other | 7 | 15% |
Unknown | 10 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 May 2014.
All research outputs
#14,653,295
of 22,755,127 outputs
Outputs from Journal of Cheminformatics
#729
of 828 outputs
Outputs of similar age
#126,130
of 227,074 outputs
Outputs of similar age from Journal of Cheminformatics
#18
of 22 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 11th percentile – i.e., 11% 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 227,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.