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“Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool

Overview of attention for article published in Journal of Cheminformatics, July 2021
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
17 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
29 Mendeley
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Title
“Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool
Published in
Journal of Cheminformatics, July 2021
DOI 10.1186/s13321-021-00526-y
Pubmed ID
Authors

Candida Manelfi, Marica Gemei, Carmine Talarico, Carmen Cerchia, Anna Fava, Filippo Lunghini, Andrea Rosario Beccari

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Bachelor 5 17%
Other 4 14%
Researcher 3 10%
Student > Postgraduate 1 3%
Other 0 0%
Unknown 11 38%
Readers by discipline Count As %
Chemistry 9 31%
Biochemistry, Genetics and Molecular Biology 2 7%
Agricultural and Biological Sciences 2 7%
Computer Science 2 7%
Environmental Science 1 3%
Other 2 7%
Unknown 11 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 February 2023.
All research outputs
#2,288,313
of 25,381,384 outputs
Outputs from Journal of Cheminformatics
#193
of 958 outputs
Outputs of similar age
#52,323
of 430,312 outputs
Outputs of similar age from Journal of Cheminformatics
#7
of 21 outputs
Altmetric has tracked 25,381,384 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 958 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 79% 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 430,312 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 87% of its contemporaries.
We're also able to compare this research output to 21 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 71% of its contemporaries.