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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 160 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 27 | 17% |
| United Kingdom | 11 | 7% |
| France | 9 | 6% |
| Germany | 6 | 4% |
| Spain | 4 | 3% |
| India | 3 | 2% |
| Mexico | 3 | 2% |
| Switzerland | 3 | 2% |
| Canada | 3 | 2% |
| Other | 28 | 18% |
| Unknown | 63 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 108 | 68% |
| Scientists | 48 | 30% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 632 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 632 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 155 | 25% |
| Researcher | 116 | 18% |
| Student > Bachelor | 62 | 10% |
| Student > Master | 52 | 8% |
| Professor | 22 | 3% |
| Other | 82 | 13% |
| Unknown | 143 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 200 | 32% |
| Physics and Astronomy | 60 | 9% |
| Materials Science | 47 | 7% |
| Computer Science | 36 | 6% |
| Engineering | 34 | 5% |
| Other | 86 | 14% |
| Unknown | 169 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 204. 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 07 December 2022.
All research outputs
#196,939
of 25,775,807 outputs
Outputs from Nature Communications
#2,801
of 58,407 outputs
Outputs of similar age
#4,035
of 374,887 outputs
Outputs of similar age from Nature Communications
#54
of 1,341 outputs
Altmetric has tracked 25,775,807 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 58,407 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 374,887 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 1,341 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 95% of its contemporaries.