| Title |
Spectral gaps, additive energy, and a fractal uncertainty principle
|
|---|---|
| Published in |
Geometric and Functional Analysis, August 2016
|
| DOI | 10.1007/s00039-016-0378-3 |
| Authors |
Semyon Dyatlov, Joshua Zahl |
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 | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 40% |
| Student > Ph. D. Student | 1 | 20% |
| Researcher | 1 | 20% |
| Other | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 80% |
| Physics and Astronomy | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 May 2016.
All research outputs
#17,345,186
of 26,017,215 outputs
Outputs from Geometric and Functional Analysis
#154
of 239 outputs
Outputs of similar age
#228,895
of 359,826 outputs
Outputs of similar age from Geometric and Functional Analysis
#4
of 4 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 239 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 32nd percentile – i.e., 32% 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 359,826 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.