| Title |
Performance of genetic algorithms in search for water splitting perovskites
|
|---|---|
| Published in |
Journal of Materials Science, May 2013
|
| DOI | 10.1007/s10853-013-7448-9 |
| Authors |
Anubhav Jain, Ivano E. Castelli, Geoffroy Hautier, David H. Bailey, Karsten W. Jacobsen |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 2% |
| United States | 2 | 2% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 105 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 27% |
| Researcher | 22 | 20% |
| Student > Master | 11 | 10% |
| Professor | 7 | 6% |
| Student > Bachelor | 6 | 5% |
| Other | 17 | 15% |
| Unknown | 18 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 30 | 27% |
| Chemistry | 23 | 21% |
| Physics and Astronomy | 20 | 18% |
| Engineering | 4 | 4% |
| Computer Science | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 26 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 November 2020.
All research outputs
#6,417,450
of 22,805,349 outputs
Outputs from Journal of Materials Science
#838
of 4,611 outputs
Outputs of similar age
#54,226
of 195,397 outputs
Outputs of similar age from Journal of Materials Science
#4
of 18 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,611 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 81% 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 195,397 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 70% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.