| Title |
Fine-grained optimization method for crystal structure prediction
|
|---|---|
| Published in |
npj Computational Materials, July 2018
|
| DOI | 10.1038/s41524-018-0090-y |
| Authors |
Kei Terayama, Tomoki Yamashita, Tamio Oguchi, Koji Tsuda |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 67% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 21% |
| Student > Bachelor | 8 | 14% |
| Student > Master | 7 | 13% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 13 | 23% |
| Chemistry | 8 | 14% |
| Engineering | 6 | 11% |
| Physics and Astronomy | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 17 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 August 2018.
All research outputs
#6,059,591
of 23,094,276 outputs
Outputs from npj Computational Materials
#269
of 881 outputs
Outputs of similar age
#103,541
of 326,353 outputs
Outputs of similar age from npj Computational Materials
#9
of 21 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 881 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 69% 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 326,353 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 21 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 57% of its contemporaries.