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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
12 news outlets
blogs
3 blogs
twitter
189 tweeters
facebook
3 Facebook pages
reddit
5 Redditors

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
194 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 189 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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 194 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 30%
Researcher 46 24%
Student > Master 16 8%
Student > Bachelor 16 8%
Professor 10 5%
Other 22 11%
Unknown 25 13%
Readers by discipline Count As %
Chemistry 64 33%
Physics and Astronomy 29 15%
Materials Science 19 10%
Computer Science 15 8%
Engineering 8 4%
Other 27 14%
Unknown 32 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 219. 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 27 February 2020.
All research outputs
#68,483
of 14,566,094 outputs
Outputs from Nature Communications
#992
of 27,460 outputs
Outputs of similar age
#2,668
of 316,954 outputs
Outputs of similar age from Nature Communications
#177
of 5,501 outputs
Altmetric has tracked 14,566,094 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 27,460 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.2. 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 316,954 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 5,501 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.