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Automatic procedure for generating symmetry adapted wavefunctions

Overview of attention for article published in Journal of Cheminformatics, February 2017
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  • Good Attention Score compared to outputs of the same age (66th percentile)

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Title
Automatic procedure for generating symmetry adapted wavefunctions
Published in
Journal of Cheminformatics, February 2017
DOI 10.1186/s13321-017-0193-3
Pubmed ID
Authors

Marcus Johansson, Valera Veryazov

Abstract

Automatic detection of point groups as well as symmetrisation of molecular geometry and wavefunctions are useful tools in computational quantum chemistry. Algorithms for developing these tools as well as an implementation are presented. The symmetry detection algorithm is a clustering algorithm for symmetry invariant properties, combined with logical deduction of possible symmetry elements using the geometry of sets of symmetrically equivalent atoms. An algorithm for determining the symmetry adapted linear combinations (SALCs) of atomic orbitals is also presented. The SALCs are constructed with the use of projection operators for the irreducible representations, as well as subgroups for determining splitting fields for a canonical basis. The character tables for the point groups are auto generated, and the algorithm is described. Symmetrisation of molecules use a projection into the totally symmetric space, whereas for wavefunctions projection as well and partner function determination and averaging is used. The software has been released as a stand-alone, open source library under the MIT license and integrated into both computational and molecular modelling software.Graphical abstract.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Researcher 6 20%
Student > Master 4 13%
Student > Doctoral Student 2 7%
Professor > Associate Professor 2 7%
Other 5 17%
Unknown 3 10%
Readers by discipline Count As %
Chemistry 16 53%
Physics and Astronomy 3 10%
Materials Science 2 7%
Sports and Recreations 1 3%
Chemical Engineering 1 3%
Other 2 7%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 February 2017.
All research outputs
#7,699,935
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#610
of 891 outputs
Outputs of similar age
#140,283
of 427,373 outputs
Outputs of similar age from Journal of Cheminformatics
#19
of 22 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 30th percentile – i.e., 30% 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 427,373 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 66% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.