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FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects

Overview of attention for article published in BMC Bioinformatics, September 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
224 Dimensions

Readers on

mendeley
256 Mendeley
citeulike
5 CiteULike
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Title
FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects
Published in
BMC Bioinformatics, September 2008
DOI 10.1186/1471-2105-9-396
Pubmed ID
Authors

David Lagorce, Olivier Sperandio, Hervé Galons, Maria A Miteva, Bruno O Villoutreix

Abstract

Drug discovery and chemical biology are exceedingly complex and demanding enterprises. In recent years there are been increasing awareness about the importance of predicting/optimizing the absorption, distribution, metabolism, excretion and toxicity (ADMET) properties of small chemical compounds along the search process rather than at the final stages. Fast methods for evaluating ADMET properties of small molecules often involve applying a set of simple empirical rules (educated guesses) and as such, compound collections' property profiling can be performed in silico. Clearly, these rules cannot assess the full complexity of the human body but can provide valuable information and assist decision-making.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 1%
United Kingdom 3 1%
Indonesia 2 <1%
India 2 <1%
Brazil 2 <1%
Romania 2 <1%
France 1 <1%
Mexico 1 <1%
Belgium 1 <1%
Other 2 <1%
Unknown 237 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 20%
Researcher 46 18%
Student > Master 28 11%
Student > Bachelor 27 11%
Student > Doctoral Student 14 5%
Other 55 21%
Unknown 35 14%
Readers by discipline Count As %
Chemistry 62 24%
Agricultural and Biological Sciences 48 19%
Biochemistry, Genetics and Molecular Biology 36 14%
Pharmacology, Toxicology and Pharmaceutical Science 20 8%
Medicine and Dentistry 14 5%
Other 32 13%
Unknown 44 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 March 2013.
All research outputs
#3,508,566
of 22,701,287 outputs
Outputs from BMC Bioinformatics
#1,252
of 7,254 outputs
Outputs of similar age
#13,060
of 87,736 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 34 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,254 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 done well, scoring higher than 82% 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 87,736 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.