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Model reduction for complex hyperbolic networks

Overview of attention for article published in arXiv, June 2014
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Model reduction for complex hyperbolic networks
Published in
arXiv, June 2014
DOI 10.1109/ecc.2014.6862188
Authors

Himpe, Christian, Ohlberger, Mario

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Student > Master 2 20%
Professor 1 10%
Researcher 1 10%
Student > Doctoral Student 1 10%
Other 1 10%
Readers by discipline Count As %
Engineering 5 50%
Mathematics 3 30%
Computer Science 2 20%

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 03 October 2013.
All research outputs
#3,075,181
of 4,507,280 outputs
Outputs from arXiv
#159,563
of 282,376 outputs
Outputs of similar age
#67,953
of 99,422 outputs
Outputs of similar age from arXiv
#1
of 1 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 282,376 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 21st percentile – i.e., 21% 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 99,422 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% 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