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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Learning Without Feedback: Fixed Random Learning Signals Allow for Feedforward Training of Deep Neural Networks
|
---|---|
Published in |
Frontiers in Neuroscience, February 2021
|
DOI | 10.3389/fnins.2021.629892 |
Pubmed ID | |
Authors |
Charlotte Frenkel, Martin Lefebvre, David Bol |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 10 | 29% |
Belgium | 3 | 9% |
Switzerland | 3 | 9% |
Canada | 1 | 3% |
Kenya | 1 | 3% |
Unknown | 16 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 71% |
Scientists | 9 | 26% |
Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 62 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 16% |
Student > Master | 10 | 16% |
Student > Bachelor | 5 | 8% |
Researcher | 4 | 6% |
Student > Doctoral Student | 2 | 3% |
Other | 8 | 13% |
Unknown | 23 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 27% |
Engineering | 9 | 15% |
Neuroscience | 3 | 5% |
Agricultural and Biological Sciences | 2 | 3% |
Unspecified | 2 | 3% |
Other | 5 | 8% |
Unknown | 24 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 06 December 2022.
All research outputs
#1,306,503
of 25,492,047 outputs
Outputs from Frontiers in Neuroscience
#580
of 11,584 outputs
Outputs of similar age
#37,926
of 537,971 outputs
Outputs of similar age from Frontiers in Neuroscience
#28
of 404 outputs
Altmetric has tracked 25,492,047 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 95% 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 537,971 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 404 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 93% of its contemporaries.