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AQME: Automated quantum mechanical environments for researchers and educators

Overview of attention for article published in Wiley Interdisciplinary Reviews: Computational Molecular Science, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
14 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
27 Mendeley
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Title
AQME: Automated quantum mechanical environments for researchers and educators
Published in
Wiley Interdisciplinary Reviews: Computational Molecular Science, February 2023
DOI 10.1002/wcms.1663
Authors

Juan V. Alegre‐Requena, Shree Sowndarya S. V., Raúl Pérez‐Soto, Turki M. Alturaifi, Robert S. Paton

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Student > Ph. D. Student 4 15%
Researcher 4 15%
Professor 3 11%
Student > Master 3 11%
Other 1 4%
Unknown 8 30%
Readers by discipline Count As %
Chemistry 9 33%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Earth and Planetary Sciences 1 4%
Other 3 11%
Unknown 11 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 April 2023.
All research outputs
#4,005,295
of 26,560,265 outputs
Outputs from Wiley Interdisciplinary Reviews: Computational Molecular Science
#105
of 423 outputs
Outputs of similar age
#76,771
of 433,293 outputs
Outputs of similar age from Wiley Interdisciplinary Reviews: Computational Molecular Science
#2
of 5 outputs
Altmetric has tracked 26,560,265 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 423 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 75% 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 433,293 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.