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Efficient OpenCL system integration of non-blocking FPGA accelerators

Overview of attention for article published in Microprocessors & Microsystems, March 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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5 X users

Citations

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4 Dimensions

Readers on

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5 Mendeley
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Title
Efficient OpenCL system integration of non-blocking FPGA accelerators
Published in
Microprocessors & Microsystems, March 2023
DOI 10.1016/j.micpro.2023.104772
Authors

Topi Leppänen, Atro Lotvonen, Panagiotis Mousouliotis, Joonas Multanen, Georgios Keramidas, Pekka Jääskeläinen

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Student > Bachelor 1 20%
Unknown 3 60%
Readers by discipline Count As %
Computer Science 1 20%
Economics, Econometrics and Finance 1 20%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 January 2023.
All research outputs
#6,653,994
of 23,567,572 outputs
Outputs from Microprocessors & Microsystems
#144
of 539 outputs
Outputs of similar age
#111,961
of 403,220 outputs
Outputs of similar age from Microprocessors & Microsystems
#1
of 6 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 539 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 73% 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 403,220 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 72% of its contemporaries.
We're also able to compare this research output to 6 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