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Predicting targets of compounds against neurological diseases using cheminformatic methodology

Overview of attention for article published in Perspectives in Drug Discovery and Design, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
85 Mendeley
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Title
Predicting targets of compounds against neurological diseases using cheminformatic methodology
Published in
Perspectives in Drug Discovery and Design, November 2014
DOI 10.1007/s10822-014-9816-1
Pubmed ID
Authors

Katarina Nikolic, Lazaros Mavridis, Oscar M. Bautista-Aguilera, José Marco-Contelles, Holger Stark, Maria do Carmo Carreiras, Ilaria Rossi, Paola Massarelli, Danica Agbaba, Rona R. Ramsay, John B. O. Mitchell

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

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 14%
Student > Master 10 12%
Researcher 9 11%
Student > Ph. D. Student 8 9%
Student > Doctoral Student 3 4%
Other 13 15%
Unknown 30 35%
Readers by discipline Count As %
Medicine and Dentistry 13 15%
Chemistry 12 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Biochemistry, Genetics and Molecular Biology 5 6%
Psychology 5 6%
Other 14 16%
Unknown 30 35%
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 26 February 2019.
All research outputs
#8,269,042
of 26,017,215 outputs
Outputs from Perspectives in Drug Discovery and Design
#419
of 971 outputs
Outputs of similar age
#107,113
of 376,003 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#4
of 13 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 67th percentile.
So far Altmetric has tracked 971 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 56% 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 376,003 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 70% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.