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Transferable pseudoclassical electrons for aufbau of atomic ions

Overview of attention for article published in Journal of Computational Chemistry, April 2014
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  • High Attention Score compared to outputs of the same age and source (87th percentile)

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1 X user
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1 Wikipedia page

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21 Mendeley
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Article details
Title
Transferable pseudoclassical electrons for aufbau of atomic ions
Published in
Journal of Computational Chemistry, April 2014
DOI 10.1002/jcc.23612
Pubmed ID
Authors
Abstract

Generalizing the LEWIS reactive force field from electron pairs to single electrons, we present LEWIS• in which explicit valence electrons interact with each other and with nuclear cores via pairwise interactions. The valence electrons are independently mobile particles, following classical equations of motion according to potentials modified from Coulombic as required to capture quantum characteristics. As proof of principle, the aufbau of atomic ions is described for diverse main group elements from the first three rows of the periodic table, using a single potential for interactions between electrons of like spin and another for electrons of unlike spin. The electrons of each spin are found to distribute themselves in a fashion akin to the major lobes of the hybrid atomic orbitals, suggesting a pointillist description of the electron density. The broader validity of the LEWIS• force field is illustrated by predicting the vibrational frequencies of diatomic and triatomic hydrogen species.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Researcher 4 19%
Professor > Associate Professor 2 10%
Other 1 5%
Student > Doctoral Student 1 5%
Other 3 14%
Unknown 4 19%
Readers by discipline
Readers by discipline Count As %
Chemistry 10 48%
Physics and Astronomy 3 14%
Agricultural and Biological Sciences 1 5%
Materials Science 1 5%
Engineering 1 5%
Other 0 0%
Unknown 5 24%
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 11 September 2015.
All research outputs
#7,644,257
of 24,558,777 outputs
Outputs from Journal of Computational Chemistry
#647
of 2,152 outputs
Outputs of similar age
#69,453
of 231,802 outputs
Outputs of similar age from Journal of Computational Chemistry
#3
of 31 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,152 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 69% 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 231,802 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 68% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.