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.
X Demographics
Attention Score in Context
Title |
Model pruning based on filter similarity for edge device deployment
|
---|---|
Published in |
Frontiers in Neurorobotics, March 2023
|
DOI | 10.3389/fnbot.2023.1132679 |
Pubmed ID | |
Authors |
Tingting Wu, Chunhe Song, Peng Zeng |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 March 2023.
All research outputs
#19,670,596
of 25,046,944 outputs
Outputs from Frontiers in Neurorobotics
#543
of 1,011 outputs
Outputs of similar age
#288,993
of 411,580 outputs
Outputs of similar age from Frontiers in Neurorobotics
#11
of 49 outputs
Altmetric has tracked 25,046,944 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 37th percentile – i.e., 37% 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 411,580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.