| Title |
Machine learning in spectral domain
|
|---|---|
| Published in |
Nature Communications, February 2021
|
| DOI | 10.1038/s41467-021-21481-0 |
| Pubmed ID | |
| Authors |
Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Walter Nocentini, Duccio Fanelli |
X Demographics
The data shown below were collected from the profiles of 25 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 | 3 | 12% |
| United States | 1 | 4% |
| Portugal | 1 | 4% |
| Mexico | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 18 | 72% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 84% |
| Scientists | 4 | 16% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 20% |
| Student > Master | 14 | 19% |
| Researcher | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Professor | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 19 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 20% |
| Engineering | 12 | 16% |
| Physics and Astronomy | 8 | 11% |
| Medicine and Dentistry | 3 | 4% |
| Materials Science | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 23 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 02 March 2021.
All research outputs
#3,035,247
of 24,980,180 outputs
Outputs from Nature Communications
#31,305
of 54,808 outputs
Outputs of similar age
#75,142
of 425,781 outputs
Outputs of similar age from Nature Communications
#1,187
of 1,843 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 54,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.8. This one is in the 42nd percentile – i.e., 42% 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 425,781 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 1,843 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.