↓ Skip to main content

A Real-World Perspective on Molecular Design

Overview of attention for article published in Journal of Medicinal Chemistry, February 2016
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
2 blogs
twitter
11 X users
patent
4 patents
facebook
1 Facebook page
f1000
1 research highlight platform

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
395 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Real-World Perspective on Molecular Design
Published in
Journal of Medicinal Chemistry, February 2016
DOI 10.1021/acs.jmedchem.5b01875
Pubmed ID
Authors

Bernd Kuhn, Wolfgang Guba, Jérôme Hert, David Banner, Caterina Bissantz, Simona Ceccarelli, Wolfgang Haap, Matthias Körner, Andreas Kuglstatter, Christian Lerner, Patrizio Mattei, Werner Neidhart, Emmanuel Pinard, Markus G. Rudolph, Tanja Schulz-Gasch, Thomas Woltering, Martin Stahl

Abstract

We present a series of small molecule drug discovery case studies where computational methods were prospectively employed to impact Roche research projects, with the aim of highlighting those methods that provide real added value. Our brief accounts encompass a broad range of methods and techniques applied to a variety of enzymes and receptors. Most of these are based on judicious application of knowledge about molecular conformations and interactions: filling of lipophilic pockets to gain affinity or selectivity, addition of polar substituents, scaffold hopping, transfer of SAR, conformation analysis, and molecular overlays. A case study of sequence-driven focused screening is presented to illustrate how appropriate pre-processing of information enables effective exploitation of prior knowledge. We conclude that qualitative statements that enable chemists to focus on promising regions of chemical space are often more impactful than quantitative prediction.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 395 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
United Kingdom 3 <1%
Italy 2 <1%
Belgium 2 <1%
Germany 2 <1%
Brazil 2 <1%
India 1 <1%
Switzerland 1 <1%
Bulgaria 1 <1%
Other 3 <1%
Unknown 375 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 126 32%
Student > Ph. D. Student 70 18%
Student > Master 33 8%
Other 23 6%
Professor 21 5%
Other 69 17%
Unknown 53 13%
Readers by discipline Count As %
Chemistry 191 48%
Biochemistry, Genetics and Molecular Biology 32 8%
Pharmacology, Toxicology and Pharmaceutical Science 32 8%
Agricultural and Biological Sciences 27 7%
Computer Science 18 5%
Other 26 7%
Unknown 69 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 27 November 2023.
All research outputs
#1,422,854
of 26,090,071 outputs
Outputs from Journal of Medicinal Chemistry
#388
of 23,416 outputs
Outputs of similar age
#22,732
of 314,553 outputs
Outputs of similar age from Journal of Medicinal Chemistry
#8
of 175 outputs
Altmetric has tracked 26,090,071 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,416 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 98% 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 314,553 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.