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Inflation of correlation in the pursuit of drug-likeness

Overview of attention for article published in Perspectives in Drug Discovery and Design, January 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 949)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

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6 blogs
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19 X users
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3 Google+ users
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Citations

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75 Dimensions

Readers on

mendeley
183 Mendeley
citeulike
3 CiteULike
Title
Inflation of correlation in the pursuit of drug-likeness
Published in
Perspectives in Drug Discovery and Design, January 2013
DOI 10.1007/s10822-012-9631-5
Pubmed ID
Authors

Peter W. Kenny, Carlos A. Montanari

Abstract

Drug-likeness is a frequently invoked, although not always precisely defined, concept in drug discovery. Opinions on drug-likeness are to a large extent shaped by the relationships that are observed between surrogate measures of drug-likeness (e.g. aqueous solubility; permeability; pharmacological promiscuity) and fundamental physicochemical properties (e.g. lipophilicity; molecular size). This article draws on examples from the literature to highlight approaches to data analysis that exaggerate trends in data and the term correlation inflation is introduced in the context of drug discovery. Averaging groups of data points prior to analysis is a common cause of correlation inflation and results from analysis of binned continuous data should always be treated with caution.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
United Kingdom 5 3%
Germany 2 1%
Austria 1 <1%
Sweden 1 <1%
China 1 <1%
Bulgaria 1 <1%
Japan 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 164 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 71 39%
Student > Ph. D. Student 29 16%
Other 17 9%
Student > Master 12 7%
Student > Bachelor 7 4%
Other 26 14%
Unknown 21 11%
Readers by discipline Count As %
Chemistry 93 51%
Agricultural and Biological Sciences 17 9%
Computer Science 13 7%
Medicine and Dentistry 8 4%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Other 19 10%
Unknown 26 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 21 January 2024.
All research outputs
#787,201
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#2
of 949 outputs
Outputs of similar age
#5,937
of 290,620 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#1
of 3 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 99% 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 290,620 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 97% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them