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PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results

Overview of attention for article published in Perspectives in Drug Discovery and Design, November 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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1 X user
patent
1 patent

Citations

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954 Dimensions

Readers on

mendeley
582 Mendeley
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3 CiteULike
Title
PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results
Published in
Perspectives in Drug Discovery and Design, November 2006
DOI 10.1007/s10822-006-9087-6
Pubmed ID
Authors

Steven L. Dixon, Alexander M. Smondyrev, Eric H. Knoll, Shashidhar N. Rao, David E. Shaw, Richard A. Friesner

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 582 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 3 <1%
China 3 <1%
Brazil 3 <1%
United States 3 <1%
France 2 <1%
Estonia 2 <1%
Italy 1 <1%
Finland 1 <1%
Egypt 1 <1%
Other 7 1%
Unknown 556 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 123 21%
Researcher 103 18%
Student > Master 73 13%
Student > Bachelor 42 7%
Student > Doctoral Student 27 5%
Other 93 16%
Unknown 121 21%
Readers by discipline Count As %
Chemistry 143 25%
Biochemistry, Genetics and Molecular Biology 70 12%
Agricultural and Biological Sciences 62 11%
Pharmacology, Toxicology and Pharmaceutical Science 58 10%
Computer Science 19 3%
Other 70 12%
Unknown 160 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 May 2019.
All research outputs
#7,629,858
of 26,017,215 outputs
Outputs from Perspectives in Drug Discovery and Design
#403
of 965 outputs
Outputs of similar age
#38,316
of 172,411 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#4
of 10 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 965 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 gotten more attention than average, scoring higher than 57% 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 172,411 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 74% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.