| Title |
Topological strings on singular elliptic Calabi-Yau 3-folds and minimal 6d SCFTs
|
|---|---|
| Published in |
Journal of High Energy Physics, March 2018
|
| DOI | 10.1007/jhep03(2018)156 |
| Authors |
Michele Del Zotto, Jie Gu, Min-xin Huang, Amir-Kian Kashani-Poor, Albrecht Klemm, Guglielmo Lockhart |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 13% |
| Italy | 1 | 13% |
| Central African Republic | 1 | 13% |
| United States | 1 | 13% |
| Japan | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 33% |
| Researcher | 1 | 17% |
| Other | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 4 | 67% |
| Mathematics | 1 | 17% |
| Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 July 2018.
All research outputs
#7,305,383
of 25,382,440 outputs
Outputs from Journal of High Energy Physics
#2,575
of 24,152 outputs
Outputs of similar age
#120,617
of 345,388 outputs
Outputs of similar age from Journal of High Energy Physics
#44
of 513 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 24,152 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 89% 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 345,388 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 64% of its contemporaries.
We're also able to compare this research output to 513 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 91% of its contemporaries.