| Title |
Predicting stable crystalline compounds using chemical similarity
|
|---|---|
| Published in |
npj Computational Materials, January 2021
|
| DOI | 10.1038/s41524-020-00481-6 |
| Authors |
Hai-Chen Wang, Silvana Botti, Miguel A. L. Marques |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 22% |
| Researcher | 10 | 16% |
| Student > Bachelor | 4 | 6% |
| Student > Master | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 23 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 15 | 23% |
| Physics and Astronomy | 8 | 13% |
| Chemistry | 7 | 11% |
| Chemical Engineering | 4 | 6% |
| Unspecified | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 22 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 January 2021.
All research outputs
#15,665,271
of 23,275,636 outputs
Outputs from npj Computational Materials
#560
of 889 outputs
Outputs of similar age
#306,416
of 505,414 outputs
Outputs of similar age from npj Computational Materials
#32
of 44 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 889 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 29th percentile – i.e., 29% 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 505,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.