↓ Skip to main content

7 μ J/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks

Overview of attention for article published in Future Generation Computer Systems, December 2023
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
7 μ J/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks
Published in
Future Generation Computer Systems, December 2023
DOI 10.1016/j.future.2023.07.017
Authors

Georg Rutishauser, Moritz Scherer, Tim Fischer, Luca Benini

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 20%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Student > Master 2 13%
Lecturer 1 7%
Other 1 7%
Unknown 4 27%
Readers by discipline Count As %
Computer Science 4 27%
Unspecified 3 20%
Engineering 3 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 07 August 2023.
All research outputs
#4,959,793
of 26,420,475 outputs
Outputs from Future Generation Computer Systems
#157
of 1,475 outputs
Outputs of similar age
#79,889
of 390,760 outputs
Outputs of similar age from Future Generation Computer Systems
#2
of 20 outputs
Altmetric has tracked 26,420,475 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,475 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 89% 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 390,760 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 79% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.