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Implementation of fast HEVC encoder based on SIMD and data-level parallelism

Overview of attention for article published in EURASIP Journal on Image and Video Processing, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 233)
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
29 Mendeley
Title
Implementation of fast HEVC encoder based on SIMD and data-level parallelism
Published in
EURASIP Journal on Image and Video Processing, March 2014
DOI 10.1186/1687-5281-2014-16
Authors

Yong-Jo Ahn, Tae-Jin Hwang, Dong-Gyu Sim, Woo-Jin Han

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Portugal 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 38%
Student > Master 6 21%
Unspecified 2 7%
Other 1 3%
Student > Bachelor 1 3%
Other 3 10%
Unknown 5 17%
Readers by discipline Count As %
Computer Science 10 34%
Engineering 10 34%
Unspecified 2 7%
Physics and Astronomy 1 3%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 November 2021.
All research outputs
#5,446,629
of 25,374,647 outputs
Outputs from EURASIP Journal on Image and Video Processing
#19
of 233 outputs
Outputs of similar age
#50,529
of 238,081 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#1
of 4 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 85% 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 238,081 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
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