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High-throughput structure-based pharmacophore modelling as a basis for successful parallel virtual screening

Overview of attention for article published in Perspectives in Drug Discovery and Design, September 2006
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
64 Mendeley
Title
High-throughput structure-based pharmacophore modelling as a basis for successful parallel virtual screening
Published in
Perspectives in Drug Discovery and Design, September 2006
DOI 10.1007/s10822-006-9066-y
Pubmed ID
Authors

Theodora M. Steindl, Daniela Schuster, Gerhard Wolber, Christian Laggner, Thierry Langer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Indonesia 1 2%
Germany 1 2%
United Kingdom 1 2%
Ukraine 1 2%
Iran, Islamic Republic of 1 2%
United States 1 2%
Angola 1 2%
Unknown 55 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 31%
Researcher 12 19%
Student > Master 7 11%
Professor > Associate Professor 5 8%
Student > Postgraduate 4 6%
Other 11 17%
Unknown 5 8%
Readers by discipline Count As %
Chemistry 28 44%
Agricultural and Biological Sciences 9 14%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Computer Science 4 6%
Medicine and Dentistry 4 6%
Other 4 6%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 April 2012.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Perspectives in Drug Discovery and Design
#430
of 965 outputs
Outputs of similar age
#31,668
of 91,361 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#6
of 11 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
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 is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 91,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.