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Luscus: molecular viewer and editor for MOLCAS

Overview of attention for article published in Journal of Cheminformatics, April 2015
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2 X users

Citations

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26 Dimensions

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28 Mendeley
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Title
Luscus: molecular viewer and editor for MOLCAS
Published in
Journal of Cheminformatics, April 2015
DOI 10.1186/s13321-015-0060-z
Pubmed ID
Authors

Goran Kovačević, Valera Veryazov

Abstract

The novel program for graphical display and editing of molecular systems, luscus, is described. The program allows fast and easy building and/or editing different molecular structures, up to several thousands of atoms large. Luscus is able to visualise dipole moments, normal modes, molecular orbitals, electron densities and electrostatic potentials. In addition, simple geometrical objects can be rendered in order to reveal a geometrical feature or a physical quantity. The program is developed as a graphical interface for the MOLCAS program package, however its adaptive nature makes possible to use luscus with other computational program packages and chemical formats. All data files are opened via simple plug-ins which makes easy to implement a new file format in luscus. The easiness of editing molecular geometries makes luscus suitable for teaching students chemical concepts and molecular modelling. Graphical AbstractScreenshot of luscus program showing molecular orbital.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 18%
Student > Ph. D. Student 5 18%
Student > Master 5 18%
Researcher 3 11%
Professor 2 7%
Other 6 21%
Unknown 2 7%
Readers by discipline Count As %
Chemistry 14 50%
Computer Science 3 11%
Arts and Humanities 2 7%
Physics and Astronomy 2 7%
Chemical Engineering 1 4%
Other 3 11%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 May 2015.
All research outputs
#14,222,419
of 22,800,560 outputs
Outputs from Journal of Cheminformatics
#701
of 833 outputs
Outputs of similar age
#138,846
of 264,547 outputs
Outputs of similar age from Journal of Cheminformatics
#12
of 15 outputs
Altmetric has tracked 22,800,560 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 12th percentile – i.e., 12% 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 264,547 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.