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Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses

Overview of attention for article published in Molecular Diversity, August 2009
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
34 Mendeley
Title
Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses
Published in
Molecular Diversity, August 2009
DOI 10.1007/s11030-009-9190-4
Pubmed ID
Authors

Natalja Fjodorova, Marjan Vračko, Marjan Tušar, Aneta Jezierska, Marjana Novič, Ralph Kühne, Gerrit Schüürmann

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Russia 1 3%
Germany 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Student > Master 5 15%
Student > Bachelor 4 12%
Researcher 4 12%
Professor 2 6%
Other 4 12%
Unknown 9 26%
Readers by discipline Count As %
Chemistry 6 18%
Environmental Science 3 9%
Agricultural and Biological Sciences 3 9%
Computer Science 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 6 18%
Unknown 11 32%
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 01 January 2014.
All research outputs
#7,496,019
of 22,914,829 outputs
Outputs from Molecular Diversity
#130
of 467 outputs
Outputs of similar age
#37,647
of 111,496 outputs
Outputs of similar age from Molecular Diversity
#2
of 3 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 467 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 50% 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 111,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.