| Title |
Direct Probing of the Mott Crossover in the SU(N) Fermi-Hubbard Model
|
|---|---|
| Published in |
arXiv, June 2016
|
| DOI | 10.1103/physrevx.6.021030 |
| Authors |
Christian Hofrichter, Luis Riegger, Francesco Scazza, Moritz Höfer, Diogo Rio Fernandes, Immanuel Bloch, Simon Fölling |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Vietnam | 1 | <1% |
| Unknown | 103 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 27% |
| Student > Master | 19 | 18% |
| Researcher | 14 | 13% |
| Professor | 9 | 8% |
| Student > Bachelor | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 17 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 87 | 81% |
| Sports and Recreations | 1 | <1% |
| Engineering | 1 | <1% |
| Unknown | 18 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 June 2016.
All research outputs
#2,881,003
of 22,833,393 outputs
Outputs from arXiv
#52,698
of 937,483 outputs
Outputs of similar age
#52,712
of 338,942 outputs
Outputs of similar age from arXiv
#864
of 15,697 outputs
Altmetric has tracked 22,833,393 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 937,483 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 94% 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 338,942 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 84% of its contemporaries.
We're also able to compare this research output to 15,697 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.