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A new release of MOPAC incorporating the INDO/S semiempirical model with CI excited states

Overview of attention for article published in Journal of Computational Chemistry, November 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
37 Mendeley
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Article details
Title
A new release of MOPAC incorporating the INDO/S semiempirical model with CI excited states
Published in
Journal of Computational Chemistry, November 2020
DOI 10.1002/jcc.26455
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 11%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Researcher 3 8%
Other 2 5%
Other 7 19%
Unknown 15 41%
Readers by discipline
Readers by discipline Count As %
Chemistry 16 43%
Biochemistry, Genetics and Molecular Biology 4 11%
Nursing and Health Professions 1 3%
Neuroscience 1 3%
Materials Science 1 3%
Other 0 0%
Unknown 14 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 2024.
All research outputs
#7,383,059
of 25,870,940 outputs
Outputs from Journal of Computational Chemistry
#624
of 2,235 outputs
Outputs of similar age
#171,886
of 528,959 outputs
Outputs of similar age from Journal of Computational Chemistry
#11
of 43 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,235 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 71% 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 528,959 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 67% of its contemporaries.
We're also able to compare this research output to 43 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 74% of its contemporaries.