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VQE method: a short survey and recent developments

Overview of attention for article published in Materials Theory, January 2022
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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 (93rd percentile)

Mentioned by

news
3 news outlets
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
114 Mendeley
Title
VQE method: a short survey and recent developments
Published in
Materials Theory, January 2022
DOI 10.1186/s41313-021-00032-6
Authors

Dmitry A. Fedorov, Bo Peng, Niranjan Govind, Yuri Alexeev

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Researcher 18 16%
Student > Bachelor 9 8%
Student > Master 6 5%
Professor 5 4%
Other 13 11%
Unknown 42 37%
Readers by discipline Count As %
Physics and Astronomy 32 28%
Chemistry 14 12%
Engineering 6 5%
Mathematics 4 4%
Computer Science 4 4%
Other 7 6%
Unknown 47 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 15 April 2024.
All research outputs
#1,340,527
of 25,718,113 outputs
Outputs from Materials Theory
#2
of 14 outputs
Outputs of similar age
#32,798
of 518,594 outputs
Outputs of similar age from Materials Theory
#1
of 1 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one scored the same or higher as 12 of them.
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 518,594 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them