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BoBER: web interface to the base of bioisosterically exchangeable replacements

Overview of attention for article published in Journal of Cheminformatics, December 2017
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
35 Mendeley
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Title
BoBER: web interface to the base of bioisosterically exchangeable replacements
Published in
Journal of Cheminformatics, December 2017
DOI 10.1186/s13321-017-0251-x
Pubmed ID
Authors

Samo Lešnik, Blaž Škrlj, Nika Eržen, Urban Bren, Stanislav Gobec, Janez Konc, Dušanka Janežič

Abstract

We describe a novel freely available web server Base of Bioisosterically Exchangeable Replacements (BoBER), which implements an interface to a database of bioisosteric and scaffold hopping replacements. Bioisosterism and scaffold hopping are key concepts in drug design and optimization, and can be defined as replacements of biologically active compound's fragments with other fragments to improve activity, reduce toxicity, change bioavailability or to diversify the scaffold space. Our web server enables fast and user-friendly searches for bioisosteric and scaffold replacements which were obtained by mining the whole Protein Data Bank. The working of the web server is presented on an existing MurF inhibitor as example. BoBER web server enables medicinal chemists to quickly search for and get new and unique ideas about possible bioisosteric or scaffold hopping replacements that could be used to improve hit or lead drug-like compounds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Professor > Associate Professor 4 11%
Student > Doctoral Student 4 11%
Student > Master 4 11%
Student > Ph. D. Student 3 9%
Other 6 17%
Unknown 7 20%
Readers by discipline Count As %
Chemistry 11 31%
Biochemistry, Genetics and Molecular Biology 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Computer Science 3 9%
Agricultural and Biological Sciences 2 6%
Other 4 11%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 13 September 2019.
All research outputs
#2,846,339
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#278
of 891 outputs
Outputs of similar age
#62,383
of 446,819 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 15 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 68% 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 446,819 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 86% of its contemporaries.
We're also able to compare this research output to 15 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 73% of its contemporaries.