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Recent Advances in Inverse Scattering, Schur Analysis and Stochastic Processes

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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Recent Advances in Inverse Scattering, Schur Analysis and Stochastic Processes
Published by
arXiv, January 2015
DOI 10.1007/978-3-319-10335-8
ISBNs
978-3-31-910334-1, 978-3-31-910335-8
Authors

Alexander Sakhnovich, Lev Sakhnovich

Editors

Daniel Alpay, Bernd Kirstein

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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 May 2015.
All research outputs
#17,690,900
of 22,713,403 outputs
Outputs from arXiv
#437,429
of 930,874 outputs
Outputs of similar age
#241,571
of 352,781 outputs
Outputs of similar age from arXiv
#3,353
of 11,052 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 930,874 research outputs from this source. They receive a mean Attention Score of 3.9. 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 352,781 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 11,052 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.