| Title |
Promises and perils of computational materials databases
|
|---|---|
| Published in |
Nature Computational Science, January 2021
|
| DOI | 10.1038/s43588-020-00016-5 |
| Pubmed ID | |
| Authors |
M. K. Horton, S. Dwaraknath, K. A. Persson |
X Demographics
The data shown below were collected from the profiles of 17 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 | 7 | 41% |
| Ireland | 2 | 12% |
| Netherlands | 1 | 6% |
| India | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 71% |
| Members of the public | 5 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Researcher | 7 | 16% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Professor | 4 | 9% |
| Other | 8 | 18% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 17 | 39% |
| Engineering | 6 | 14% |
| Chemistry | 6 | 14% |
| Medicine and Dentistry | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 11 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 January 2023.
All research outputs
#1,647,206
of 25,211,948 outputs
Outputs from Nature Computational Science
#128
of 574 outputs
Outputs of similar age
#44,659
of 521,487 outputs
Outputs of similar age from Nature Computational Science
#14
of 35 outputs
Altmetric has tracked 25,211,948 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 574 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 77% 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 521,487 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 35 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 62% of its contemporaries.