↓ Skip to main content

Exact Computation of the Special Geometry for Calabi–Yau Hypersurfaces of Fermat Type

Overview of attention for article published in JETP Letters, November 2018
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
3 Mendeley
Title
Exact Computation of the Special Geometry for Calabi–Yau Hypersurfaces of Fermat Type
Published in
JETP Letters, November 2018
DOI 10.1134/s0021364018220010
Authors

K. Aleshkin, A. Belavin

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Unknown 2 67%
Readers by discipline Count As %
Physics and Astronomy 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 October 2018.
All research outputs
#16,794,941
of 24,704,144 outputs
Outputs from JETP Letters
#196
of 625 outputs
Outputs of similar age
#277,417
of 447,650 outputs
Outputs of similar age from JETP Letters
#3
of 17 outputs
Altmetric has tracked 24,704,144 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 625 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 65% 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 447,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.