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Toward microstate counting beyond large N in localization and the dual one-loop quantum supergravity

Overview of attention for article published in Journal of High Energy Physics, January 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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Readers on

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8 Mendeley
Title
Toward microstate counting beyond large N in localization and the dual one-loop quantum supergravity
Published in
Journal of High Energy Physics, January 2018
DOI 10.1007/jhep01(2018)026
Authors

James T. Liu, Leopoldo A. Pando Zayas, Vimal Rathee, Wenli Zhao

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Researcher 2 25%
Professor 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Physics and Astronomy 7 88%
Unknown 1 13%
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 14 July 2017.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Journal of High Energy Physics
#8,753
of 24,152 outputs
Outputs of similar age
#284,373
of 449,895 outputs
Outputs of similar age from Journal of High Energy Physics
#248
of 481 outputs
Altmetric has tracked 25,382,440 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 24,152 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 54% 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 449,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 481 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.