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Bringing the MMFF force field to the RDKit: implementation and validation

Overview of attention for article published in Journal of Cheminformatics, July 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

twitter
3 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
99 Mendeley
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Title
Bringing the MMFF force field to the RDKit: implementation and validation
Published in
Journal of Cheminformatics, July 2014
DOI 10.1186/s13321-014-0037-3
Authors

Paolo Tosco, Nikolaus Stiefl, Gregory Landrum

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Germany 1 1%
Guatemala 1 1%
Unknown 96 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 27%
Student > Ph. D. Student 20 20%
Student > Bachelor 14 14%
Student > Master 6 6%
Professor > Associate Professor 4 4%
Other 15 15%
Unknown 13 13%
Readers by discipline Count As %
Chemistry 36 36%
Biochemistry, Genetics and Molecular Biology 10 10%
Pharmacology, Toxicology and Pharmaceutical Science 10 10%
Agricultural and Biological Sciences 7 7%
Medicine and Dentistry 5 5%
Other 12 12%
Unknown 19 19%

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 September 2014.
All research outputs
#8,598,993
of 15,922,988 outputs
Outputs from Journal of Cheminformatics
#453
of 628 outputs
Outputs of similar age
#79,024
of 195,998 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 15,922,988 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 628 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 26th percentile – i.e., 26% 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 195,998 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 58% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them