| Title |
Maximally localized dynamical quantum embedding for solving many-body correlated systems
|
|---|---|
| Published in |
Nature Computational Science, June 2021
|
| DOI | 10.1038/s43588-021-00090-3 |
| Pubmed ID | |
| Authors |
Carla Lupo, François Jamet, Wai Hei Terence Tse, Ivan Rungger, Cedric Weber |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 39% |
| Student > Ph. D. Student | 4 | 22% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 7 | 39% |
| Materials Science | 2 | 11% |
| Chemistry | 2 | 11% |
| Engineering | 2 | 11% |
| Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 June 2021.
All research outputs
#13,392,150
of 23,308,124 outputs
Outputs from Nature Computational Science
#272
of 401 outputs
Outputs of similar age
#189,147
of 443,789 outputs
Outputs of similar age from Nature Computational Science
#25
of 41 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one is in the 30th percentile – i.e., 30% 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 443,789 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 56% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.