↓ Skip to main content

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
Altmetric Badge

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 (98th 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
173 tweeters
facebook
5 Facebook pages
reddit
5 Redditors

Citations

dimensions_citation
178 Dimensions

Readers on

mendeley
537 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 173 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 537 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 537 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 146 27%
Researcher 103 19%
Student > Bachelor 56 10%
Student > Master 51 9%
Student > Doctoral Student 20 4%
Other 70 13%
Unknown 91 17%
Readers by discipline Count As %
Chemistry 184 34%
Physics and Astronomy 58 11%
Materials Science 44 8%
Engineering 33 6%
Computer Science 32 6%
Other 70 13%
Unknown 116 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 212. 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 December 2021.
All research outputs
#137,063
of 21,750,593 outputs
Outputs from Nature Communications
#1,966
of 43,631 outputs
Outputs of similar age
#3,561
of 347,222 outputs
Outputs of similar age from Nature Communications
#217
of 5,528 outputs
Altmetric has tracked 21,750,593 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 43,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done particularly well, scoring higher than 95% 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 347,222 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 98% of its contemporaries.
We're also able to compare this research output to 5,528 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.