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Metrabase: a cheminformatics and bioinformatics database for small molecule transporter data analysis and (Q)SAR modeling

Overview of attention for article published in Journal of Cheminformatics, June 2015
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Title
Metrabase: a cheminformatics and bioinformatics database for small molecule transporter data analysis and (Q)SAR modeling
Published in
Journal of Cheminformatics, June 2015
DOI 10.1186/s13321-015-0083-5
Pubmed ID
Authors

Lora Mak, David Marcus, Andrew Howlett, Galina Yarova, Guus Duchateau, Werner Klaffke, Andreas Bender, Robert C Glen

Abstract

Both metabolism and transport are key elements defining the bioavailability and biological activity of molecules, i.e. their adverse and therapeutic effects. Structured and high quality experimental data stored in a suitable container, such as a relational database, facilitates easy computational processing and thus allows for high quality information/knowledge to be efficiently inferred by computational analyses. Our aim was to create a freely accessible database that would provide easy access to data describing interactions between proteins involved in transport and xenobiotic metabolism and their small molecule substrates and modulators. We present Metrabase, an integrated cheminformatics and bioinformatics resource containing curated data related to human transport and metabolism of chemical compounds. Its primary content includes over 11,500 interaction records involving nearly 3,500 small molecule substrates and modulators of transport proteins and, currently to a much smaller extent, cytochrome P450 enzymes. Data was manually extracted from the published literature and supplemented with data integrated from other available resources. Metrabase version 1.0 is freely available under a CC BY-SA 4.0 license at http://www-metrabase.ch.cam.ac.uk.

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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Bulgaria 1 1%
Germany 1 1%
Brazil 1 1%
Unknown 80 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Researcher 15 18%
Student > Master 11 13%
Student > Bachelor 9 11%
Professor 6 7%
Other 8 10%
Unknown 16 19%
Readers by discipline Count As %
Chemistry 15 18%
Agricultural and Biological Sciences 13 15%
Biochemistry, Genetics and Molecular Biology 11 13%
Computer Science 8 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Other 8 10%
Unknown 23 27%
Attention Score in Context

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 01 July 2015.
All research outputs
#14,230,708
of 22,815,414 outputs
Outputs from Journal of Cheminformatics
#702
of 833 outputs
Outputs of similar age
#135,756
of 263,968 outputs
Outputs of similar age from Journal of Cheminformatics
#17
of 20 outputs
Altmetric has tracked 22,815,414 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 833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 12th percentile – i.e., 12% 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 263,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.