↓ Skip to main content

Non-unitary matrix joint diagonalization for complex independent vector analysis

Overview of attention for article published in ADS, November 2012
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
Title
Non-unitary matrix joint diagonalization for complex independent vector analysis
Published in
ADS, November 2012
DOI 10.1186/1687-6180-2012-241
Authors

Hao Shen, Martin Kleinsteuber

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 %
Spain 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Ph. D. Student 1 11%
Professor > Associate Professor 1 11%
Lecturer 1 11%
Unknown 4 44%
Readers by discipline Count As %
Computer Science 3 33%
Engineering 2 22%
Unknown 4 44%
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 21 November 2012.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from ADS
#24,242
of 25,975 outputs
Outputs of similar age
#255,347
of 285,368 outputs
Outputs of similar age from ADS
#502
of 549 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,975 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% 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 285,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 549 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.