| Title |
Random Matrices: Universality of Local Eigenvalue Statistics up to the Edge
|
|---|---|
| Published in |
Communications in Mathematical Physics, April 2010
|
| DOI | 10.1007/s00220-010-1044-5 |
| Authors |
Terence Tao, Van Vu |
X Demographics
The data shown below were collected from the profiles of 396 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 | 49 | 12% |
| France | 16 | 4% |
| India | 15 | 4% |
| United Kingdom | 12 | 3% |
| Mexico | 8 | 2% |
| Spain | 8 | 2% |
| Canada | 7 | 2% |
| Switzerland | 7 | 2% |
| Australia | 6 | 2% |
| Other | 55 | 14% |
| Unknown | 213 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 280 | 71% |
| Scientists | 101 | 26% |
| Science communicators (journalists, bloggers, editors) | 6 | 2% |
| Practitioners (doctors, other healthcare professionals) | 5 | 1% |
| Unknown | 4 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| Spain | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 37 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 19% |
| Researcher | 7 | 17% |
| Professor > Associate Professor | 5 | 12% |
| Student > Master | 4 | 10% |
| Professor | 4 | 10% |
| Other | 7 | 17% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 14 | 33% |
| Computer Science | 9 | 21% |
| Physics and Astronomy | 9 | 21% |
| Agricultural and Biological Sciences | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 7 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 269. 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 January 2024.
All research outputs
#137,011
of 25,761,363 outputs
Outputs from Communications in Mathematical Physics
#1
of 3,113 outputs
Outputs of similar age
#296
of 104,454 outputs
Outputs of similar age from Communications in Mathematical Physics
#1
of 3 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,113 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 99% 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 104,454 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 99% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them