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Sound Mixed Fixed-Point Quantization of Neural Networks

Overview of attention for article published in ACM Transactions on Embedded Computing Systems, September 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
3 Mendeley
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Title
Sound Mixed Fixed-Point Quantization of Neural Networks
Published in
ACM Transactions on Embedded Computing Systems, September 2023
DOI 10.1145/3609118
Authors

Debasmita Lohar, Clothilde Jeangoudoux, Anastasia Volkova, Eva Darulova

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 33%
Professor 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 September 2023.
All research outputs
#13,907,695
of 24,468,058 outputs
Outputs from ACM Transactions on Embedded Computing Systems
#269
of 336 outputs
Outputs of similar age
#73,130
of 199,605 outputs
Outputs of similar age from ACM Transactions on Embedded Computing Systems
#1
of 2 outputs
Altmetric has tracked 24,468,058 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 336 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 20th percentile – i.e., 20% 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 199,605 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 63% of its contemporaries.
We're also able to compare this research output to 2 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