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Homological classification of topological terms in sigma models on homogeneous spaces

Overview of attention for article published in Journal of High Energy Physics, September 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
Title
Homological classification of topological terms in sigma models on homogeneous spaces
Published in
Journal of High Energy Physics, September 2018
DOI 10.1007/jhep09(2018)155
Authors

Joe Davighi, Ben Gripaios

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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%
Student > Ph. D. Student 1 33%
Researcher 1 33%
Readers by discipline Count As %
Physics and Astronomy 2 67%
Unspecified 1 33%

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 05 April 2018.
All research outputs
#7,692,974
of 12,761,472 outputs
Outputs from Journal of High Energy Physics
#3,808
of 12,289 outputs
Outputs of similar age
#151,860
of 273,953 outputs
Outputs of similar age from Journal of High Energy Physics
#196
of 462 outputs
Altmetric has tracked 12,761,472 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,289 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 61% 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 273,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 462 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.