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Refined methods for the identifiability of tensors

Overview of attention for article published in Annali di Matematica Pura ed Applicata, May 2013
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About this Attention Score

  • Among the highest-scoring outputs from this source (#12 of 282)
  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
7 Mendeley
Title
Refined methods for the identifiability of tensors
Published in
Annali di Matematica Pura ed Applicata, May 2013
DOI 10.1007/s10231-013-0352-8
Authors

Cristiano Bocci, Luca Chiantini, Giorgio Ottaviani

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Researcher 1 14%
Other 1 14%
Student > Doctoral Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Mathematics 4 57%
Economics, Econometrics and Finance 1 14%
Engineering 1 14%
Unknown 1 14%
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 06 July 2018.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Annali di Matematica Pura ed Applicata
#12
of 282 outputs
Outputs of similar age
#71,586
of 207,921 outputs
Outputs of similar age from Annali di Matematica Pura ed Applicata
#1
of 4 outputs
Altmetric has tracked 25,371,288 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 282 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 73% 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 207,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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