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Creation of a free, Internet-accessible database: the Multiple Target Ligand Database

Overview of attention for article published in Journal of Cheminformatics, April 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

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6 Dimensions

Readers on

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38 Mendeley
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Title
Creation of a free, Internet-accessible database: the Multiple Target Ligand Database
Published in
Journal of Cheminformatics, April 2015
DOI 10.1186/s13321-015-0064-8
Pubmed ID
Authors

Chao Chen, Yang He, Jianhui Wu, Jinming Zhou

Abstract

Polypharmacology plays an important part in drug discovery, and remains a major challenge in drug development. Identification of the underlying polypharmacology of a drug, as well as development of polypharmacological drugs, have become important issues in the pharmaceutical industry and academia. Herein, through data mining of the Protein Data Bank (PDB), a free, Internet-accessible database called the Multiple Target Ligand Database (MTLD; www.mtdcadd.com) was constructed. The MTLD contains 1,732 multiple-target ligands (MTLs) which bind to 14,996 binding sites extracted from 12,759 PDB structures. Among MTLs, 222 entries are approved drugs and 1,334 entries are drug-like compounds. The MTLD could be an extremely useful tool in the development of polypharmacological drugs. It also sheds light on the side effects of drugs through anticipation of their multiple functions and similarities in the binding sites of multiple targets. The entire database is free for online searching, browsing, and downloading. As a crucial expansion of the PDB, increasing numbers of MTLs will be included in the MTLD. Eventually, it will become an efficient platform to obtain useful information on MTLs and their underlying polypharmacology.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Brazil 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 8 21%
Student > Master 5 13%
Professor > Associate Professor 4 11%
Student > Bachelor 3 8%
Other 7 18%
Unknown 1 3%
Readers by discipline Count As %
Chemistry 13 34%
Agricultural and Biological Sciences 6 16%
Computer Science 6 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Environmental Science 2 5%
Other 5 13%
Unknown 4 11%

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 29 November 2015.
All research outputs
#2,646,454
of 6,619,724 outputs
Outputs from Journal of Cheminformatics
#219
of 329 outputs
Outputs of similar age
#79,810
of 174,290 outputs
Outputs of similar age from Journal of Cheminformatics
#8
of 14 outputs
Altmetric has tracked 6,619,724 research outputs across all sources so far. This one has received more attention than most of these and is in the 59th percentile.
So far Altmetric has tracked 329 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 30th percentile – i.e., 30% 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 174,290 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 52% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.