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Low-level trace correlation on heterogeneous embedded systems

Overview of attention for article published in EURASIP Journal on Embedded Systems, January 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
5 tweeters
facebook
1 Facebook page

Readers on

mendeley
6 Mendeley
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Title
Low-level trace correlation on heterogeneous embedded systems
Published in
EURASIP Journal on Embedded Systems, January 2017
DOI 10.1186/s13639-016-0067-1
Authors

Thomas Bertauld, Michel R. Dagenais

Twitter Demographics

The data shown below were collected from the profiles of 5 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Doctoral Student 2 33%
Student > Bachelor 1 17%
Professor > Associate Professor 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Agricultural and Biological Sciences 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Arts and Humanities 1 17%
Engineering 1 17%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 October 2017.
All research outputs
#4,005,572
of 14,564,429 outputs
Outputs from EURASIP Journal on Embedded Systems
#7
of 38 outputs
Outputs of similar age
#71,159
of 227,220 outputs
Outputs of similar age from EURASIP Journal on Embedded Systems
#1
of 1 outputs
Altmetric has tracked 14,564,429 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 38 research outputs from this source. They receive a mean Attention Score of 2.8. This one scored the same or higher as 31 of them.
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 227,220 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
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