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Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions

Overview of attention for article published in Nature Communications, November 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
13 news outlets
blogs
3 blogs
twitter
175 tweeters
facebook
4 Facebook pages
reddit
5 Redditors

Readers on

mendeley
257 Mendeley
Title
Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions
Published in
Nature Communications, November 2019
DOI 10.1038/s41467-019-12875-2
Pubmed ID
Authors

K. T. Schütt, M. Gastegger, A. Tkatchenko, K.-R. Müller, R. J. Maurer

Twitter Demographics

The data shown below were collected from the profiles of 175 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 83 32%
Researcher 59 23%
Student > Bachelor 23 9%
Student > Master 22 9%
Student > Doctoral Student 11 4%
Other 32 12%
Unknown 27 11%
Readers by discipline Count As %
Chemistry 92 36%
Physics and Astronomy 36 14%
Materials Science 26 10%
Computer Science 21 8%
Engineering 12 5%
Other 31 12%
Unknown 39 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 216. 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 25 June 2020.
All research outputs
#77,887
of 15,383,283 outputs
Outputs from Nature Communications
#1,085
of 29,128 outputs
Outputs of similar age
#2,800
of 321,656 outputs
Outputs of similar age from Nature Communications
#183
of 5,504 outputs
Altmetric has tracked 15,383,283 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,128 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.6. This one has done particularly well, scoring higher than 96% 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 321,656 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 99% of its contemporaries.
We're also able to compare this research output to 5,504 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.