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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Graph dynamical networks for unsupervised learning of atomic scale dynamics in materials
|
|---|---|
| Published in |
Nature Communications, June 2019
|
| DOI | 10.1038/s41467-019-10663-6 |
| Pubmed ID | |
| Authors |
Tian Xie, Arthur France-Lanord, Yanming Wang, Yang Shao-Horn, Jeffrey C. Grossman |
X Demographics
The data shown below were collected from the profiles of 20 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 | 4 | 20% |
| Japan | 2 | 10% |
| France | 2 | 10% |
| United Kingdom | 1 | 5% |
| Germany | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 60% |
| Scientists | 6 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 248 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 28% |
| Researcher | 40 | 16% |
| Student > Master | 29 | 12% |
| Student > Bachelor | 20 | 8% |
| Student > Doctoral Student | 10 | 4% |
| Other | 33 | 13% |
| Unknown | 46 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 51 | 21% |
| Chemistry | 26 | 10% |
| Engineering | 23 | 9% |
| Computer Science | 22 | 9% |
| Physics and Astronomy | 21 | 8% |
| Other | 37 | 15% |
| Unknown | 68 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 21 November 2019.
All research outputs
#3,589,111
of 24,998,746 outputs
Outputs from Nature Communications
#33,665
of 54,949 outputs
Outputs of similar age
#70,890
of 357,689 outputs
Outputs of similar age from Nature Communications
#849
of 1,350 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 54,949 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.8. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 357,689 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1,350 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.