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AtomicChargeCalculator: interactive web-based calculation of atomic charges in large biomolecular complexes and drug-like molecules

Overview of attention for article published in Journal of Cheminformatics, October 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
71 Mendeley
citeulike
1 CiteULike
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Title
AtomicChargeCalculator: interactive web-based calculation of atomic charges in large biomolecular complexes and drug-like molecules
Published in
Journal of Cheminformatics, October 2015
DOI 10.1186/s13321-015-0099-x
Pubmed ID
Authors

Crina-Maria Ionescu, David Sehnal, Francesco L. Falginella, Purbaj Pant, Lukáš Pravda, Tomáš Bouchal, Radka Svobodová Vařeková, Stanislav Geidl, Jaroslav Koča

Abstract

Partial atomic charges are a well-established concept, useful in understanding and modeling the chemical behavior of molecules, from simple compounds, to large biomolecular complexes with many reactive sites. This paper introduces AtomicChargeCalculator (ACC), a web-based application for the calculation and analysis of atomic charges which respond to changes in molecular conformation and chemical environment. ACC relies on an empirical method to rapidly compute atomic charges with accuracy comparable to quantum mechanical approaches. Due to its efficient implementation, ACC can handle any type of molecular system, regardless of size and chemical complexity, from drug-like molecules to biomacromolecular complexes with hundreds of thousands of atoms. ACC writes out atomic charges into common molecular structure files, and offers interactive facilities for statistical analysis and comparison of the results, in both tabular and graphical form. Due to high customizability and speed, easy streamlining and the unified platform for calculation and analysis, ACC caters to all fields of life sciences, from drug design to nanocarriers. ACC is freely available via the Internet at http://ncbr.muni.cz/ACC.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 2 3%
Germany 1 1%
Unknown 68 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Researcher 15 21%
Student > Master 10 14%
Other 5 7%
Student > Bachelor 4 6%
Other 10 14%
Unknown 8 11%
Readers by discipline Count As %
Chemistry 22 31%
Biochemistry, Genetics and Molecular Biology 9 13%
Computer Science 5 7%
Agricultural and Biological Sciences 4 6%
Medicine and Dentistry 4 6%
Other 14 20%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 December 2020.
All research outputs
#6,486,922
of 25,079,131 outputs
Outputs from Journal of Cheminformatics
#510
of 942 outputs
Outputs of similar age
#74,757
of 289,545 outputs
Outputs of similar age from Journal of Cheminformatics
#8
of 14 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 942 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 45th percentile – i.e., 45% 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 289,545 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 73% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.