| Title |
How dopants limit the ultrahigh thermal conductivity of boron arsenide: a first principles study
|
|---|---|
| Published in |
npj Computational Materials, April 2021
|
| DOI | 10.1038/s41524-021-00519-3 |
| Authors |
Mauro Fava, Nakib Haider Protik, Chunhua Li, Navaneetha Krishnan Ravichandran, Jesús Carrete, Ambroise van Roekeghem, Georg K. H. Madsen, Natalio Mingo, David Broido |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 3 | 13% |
| Other | 2 | 9% |
| Student > Master | 2 | 9% |
| Student > Bachelor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 5 | 22% |
| Engineering | 2 | 9% |
| Chemistry | 2 | 9% |
| Social Sciences | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 July 2021.
All research outputs
#13,748,377
of 23,308,124 outputs
Outputs from npj Computational Materials
#410
of 889 outputs
Outputs of similar age
#205,002
of 434,009 outputs
Outputs of similar age from npj Computational Materials
#21
of 45 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 has gotten more attention than average, scoring higher than 51% 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 434,009 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 50% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.