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pocl: A Performance-Portable OpenCL Implementation

Overview of attention for article published in International Journal of Parallel Programming, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 170)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

twitter
1 X user
patent
2 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
56 Mendeley
citeulike
1 CiteULike
Title
pocl: A Performance-Portable OpenCL Implementation
Published in
International Journal of Parallel Programming, August 2014
DOI 10.1007/s10766-014-0320-y
Authors

Pekka Jääskeläinen, Carlos Sánchez de La Lama, Erik Schnetter, Kalle Raiskila, Jarmo Takala, Heikki Berg

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Spain 1 2%
Canada 1 2%
Unknown 52 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 32%
Researcher 10 18%
Student > Master 9 16%
Student > Bachelor 4 7%
Student > Doctoral Student 3 5%
Other 6 11%
Unknown 6 11%
Readers by discipline Count As %
Computer Science 33 59%
Engineering 7 13%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Nursing and Health Professions 1 2%
Other 5 9%
Unknown 8 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 May 2022.
All research outputs
#3,199,279
of 22,821,814 outputs
Outputs from International Journal of Parallel Programming
#3
of 170 outputs
Outputs of similar age
#34,211
of 235,647 outputs
Outputs of similar age from International Journal of Parallel Programming
#1
of 3 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 98% 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 235,647 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 85% of its contemporaries.
We're also able to compare this research output to 3 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