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The influence of hydrogen bonding on partition coefficients

Overview of attention for article published in Perspectives in Drug Discovery and Design, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 949)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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2 blogs
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6 X users

Citations

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21 Dimensions

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mendeley
54 Mendeley
Title
The influence of hydrogen bonding on partition coefficients
Published in
Perspectives in Drug Discovery and Design, January 2017
DOI 10.1007/s10822-016-0002-5
Pubmed ID
Authors

Nádia Melo Borges, Peter W. Kenny, Carlos A. Montanari, Igor M. Prokopczyk, Jean F. R. Ribeiro, Josmar R. Rocha, Geraldo Rodrigues Sartori

Abstract

This Perspective explores how consideration of hydrogen bonding can be used to both predict and better understand partition coefficients. It is shown how polarity of both compounds and substructures can be estimated from measured alkane/water partition coefficients. When polarity is defined in this manner, hydrogen bond donors are typically less polar than hydrogen bond acceptors. Analysis of alkane/water partition coefficients in conjunction with molecular electrostatic potential calculations suggests that aromatic chloro substituents may be less lipophilic than is generally believed and that some of the effect of chloro-substitution stems from making the aromatic π-cloud less available to hydrogen bond donors. Relationships between polarity and calculated hydrogen bond basicity are derived for aromatic nitrogen and carbonyl oxygen. Aligned hydrogen bond acceptors appear to present special challenges for prediction of alkane/water partition coefficients and this may reflect 'frustration' of solvation resulting from overlapping hydration spheres. It is also shown how calculated hydrogen bond basicity can be used to model the effect of aromatic aza-substitution on octanol/water partition coefficients.

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

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 9 17%
Student > Bachelor 6 11%
Professor > Associate Professor 5 9%
Student > Master 5 9%
Other 7 13%
Unknown 11 20%
Readers by discipline Count As %
Chemistry 20 37%
Agricultural and Biological Sciences 6 11%
Pharmacology, Toxicology and Pharmaceutical Science 5 9%
Environmental Science 2 4%
Chemical Engineering 2 4%
Other 5 9%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 08 January 2024.
All research outputs
#2,196,326
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#42
of 949 outputs
Outputs of similar age
#43,351
of 422,537 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#1
of 8 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 91st percentile: it's in the top 10% 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 95% 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 422,537 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 89% of its contemporaries.
We're also able to compare this research output to 8 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