Handbook of Materials Modeling
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Machine Learning of Atomic-Scale Properties Based on Physical Principles
|
|---|---|
| Book title |
Handbook of Materials Modeling
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-319-42913-7_68-1 |
| Book ISBNs |
978-3-31-942913-7
|
| Authors |
Michele Ceriotti, Michael J. Willatt, Gábor Csányi |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 26% |
| Researcher | 18 | 24% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 14 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 17 | 22% |
| Chemistry | 16 | 21% |
| Materials Science | 14 | 18% |
| Computer Science | 3 | 4% |
| Chemical Engineering | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 17 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 June 2019.
All research outputs
#14,121,063
of 23,885,338 outputs
Outputs from arXiv
#239,406
of 1,007,682 outputs
Outputs of similar age
#173,475
of 338,648 outputs
Outputs of similar age from arXiv
#7,033
of 24,174 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,007,682 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 75% 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 338,648 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,174 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.