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Chemically Aware Model Builder (camb): an R package for property and bioactivity modelling of small molecules

Overview of attention for article published in Journal of Cheminformatics, August 2015
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About this Attention Score

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

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
81 Mendeley
citeulike
3 CiteULike
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Title
Chemically Aware Model Builder (camb): an R package for property and bioactivity modelling of small molecules
Published in
Journal of Cheminformatics, August 2015
DOI 10.1186/s13321-015-0086-2
Pubmed ID
Authors

Daniel S Murrell, Isidro Cortes-Ciriano, Gerard J P van Westen, Ian P Stott, Andreas Bender, Thérèse E Malliavin, Robert C Glen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Norway 1 1%
Italy 1 1%
Brazil 1 1%
United Kingdom 1 1%
Spain 1 1%
Unknown 75 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 27%
Student > Bachelor 13 16%
Student > Ph. D. Student 11 14%
Student > Master 9 11%
Professor 4 5%
Other 13 16%
Unknown 9 11%
Readers by discipline Count As %
Chemistry 19 23%
Computer Science 14 17%
Agricultural and Biological Sciences 11 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Engineering 6 7%
Other 11 14%
Unknown 14 17%
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 17 May 2017.
All research outputs
#7,629,858
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#589
of 984 outputs
Outputs of similar age
#83,229
of 283,177 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 15 outputs
Altmetric has tracked 25,837,817 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 984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 39th percentile – i.e., 39% 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 283,177 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 69% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.