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Rényi Divergences as Weighted Non-commutative Vector-Valued Lp-Spaces

Overview of attention for article published in Annales Henri Poincaré, March 2018
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Citations

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Readers on

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9 Mendeley
Title
Rényi Divergences as Weighted Non-commutative Vector-Valued Lp-Spaces
Published in
Annales Henri Poincaré, March 2018
DOI 10.1007/s00023-018-0670-x
Authors

Mario Berta, Volkher B. Scholz, Marco Tomamichel

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Ph. D. Student 2 22%
Student > Master 2 22%
Lecturer 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Readers by discipline Count As %
Physics and Astronomy 6 67%
Mathematics 3 33%
Attention Score in Context

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 18 March 2018.
All research outputs
#16,123,626
of 25,837,817 outputs
Outputs from Annales Henri Poincaré
#131
of 767 outputs
Outputs of similar age
#206,010
of 366,608 outputs
Outputs of similar age from Annales Henri Poincaré
#6
of 25 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 767 research outputs from this source. They receive a mean Attention Score of 1.5. This one has done well, scoring higher than 79% 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 366,608 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 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 72% of its contemporaries.