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spyrmsd: symmetry-corrected RMSD calculations in Python

Overview of attention for article published in Journal of Cheminformatics, August 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

twitter
25 tweeters

Readers on

mendeley
16 Mendeley
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Title
spyrmsd: symmetry-corrected RMSD calculations in Python
Published in
Journal of Cheminformatics, August 2020
DOI 10.1186/s13321-020-00455-2
Authors

Rocco Meli, Philip C. Biggin

Twitter Demographics

The data shown below were collected from the profiles of 25 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 44%
Student > Master 3 19%
Student > Ph. D. Student 2 13%
Other 1 6%
Student > Bachelor 1 6%
Other 2 13%
Readers by discipline Count As %
Chemistry 9 56%
Biochemistry, Genetics and Molecular Biology 3 19%
Agricultural and Biological Sciences 2 13%
Computer Science 2 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 05 September 2020.
All research outputs
#1,502,207
of 17,145,811 outputs
Outputs from Journal of Cheminformatics
#156
of 660 outputs
Outputs of similar age
#44,582
of 306,861 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 17,145,811 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 76% 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 306,861 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% 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