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Singular vectors in Verma modules over Kac—Moody algebras

Overview of attention for article published in Functional Analysis and Its Applications, April 1986
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About this Attention Score

  • One of the highest-scoring outputs from this source (#7 of 101)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
2 Mendeley
Title
Singular vectors in Verma modules over Kac—Moody algebras
Published in
Functional Analysis and Its Applications, April 1986
DOI 10.1007/bf01077264
Authors

F. G. Malikov, B. L. Feigin, D. B. Fuks

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 February 2018.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Functional Analysis and Its Applications
#7
of 101 outputs
Outputs of similar age
#3,000
of 10,263 outputs
Outputs of similar age from Functional Analysis and Its Applications
#1
of 1 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 101 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 42nd percentile – i.e., 42% 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 10,263 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them