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mol2chemfig, a tool for rendering chemical structures from molfile or SMILES format to LATE X code

Overview of attention for article published in Journal of Cheminformatics, October 2012
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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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
2 blogs
twitter
4 X users

Citations

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6 Dimensions

Readers on

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38 Mendeley
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Title
mol2chemfig, a tool for rendering chemical structures from molfile or SMILES format to LATE X code
Published in
Journal of Cheminformatics, October 2012
DOI 10.1186/1758-2946-4-24
Pubmed ID
Authors

Eric K Brefo-Mensah, Michael Palmer

Abstract

: Displaying chemical structures in LATE X documents currently requires either hand-coding of the structures using one of several LATE X packages, or the inclusion of finished graphics files produced with an external drawing program. There is currently no software tool available to render the large number of structures available in molfile or SMILES format to LATE X source code. We here present mol2chemfig, a Python program that provides this capability. Its output is written in the syntax defined by the chemfig TE X package, which allows for the flexible and concise description of chemical structures and reaction mechanisms. The program is freely available both through a web interface and for local installation on the user's computer. The code and accompanying documentation can be found at http://chimpsky.uwaterloo.ca/mol2chemfig.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 5%
Brazil 2 5%
United Kingdom 2 5%
Netherlands 1 3%
Portugal 1 3%
Spain 1 3%
Unknown 29 76%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 34%
Student > Master 7 18%
Student > Bachelor 6 16%
Researcher 5 13%
Other 2 5%
Other 5 13%
Readers by discipline Count As %
Chemistry 13 34%
Agricultural and Biological Sciences 6 16%
Computer Science 4 11%
Biochemistry, Genetics and Molecular Biology 3 8%
Medicine and Dentistry 3 8%
Other 9 24%
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 04 November 2022.
All research outputs
#2,210,794
of 25,310,061 outputs
Outputs from Journal of Cheminformatics
#183
of 954 outputs
Outputs of similar age
#14,114
of 180,787 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 11 outputs
Altmetric has tracked 25,310,061 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 954 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 80% 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 180,787 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 11 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 72% of its contemporaries.