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Backpropagation Applied to Handwritten Zip Code Recognition

Overview of attention for article published in Neural Computation, December 1989
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 1,136)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
8 news outlets
blogs
2 blogs
twitter
41 X users
patent
61 patents
wikipedia
13 Wikipedia pages

Citations

dimensions_citation
7857 Dimensions

Readers on

mendeley
4129 Mendeley
citeulike
9 CiteULike
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Title
Backpropagation Applied to Handwritten Zip Code Recognition
Published in
Neural Computation, December 1989
DOI 10.1162/neco.1989.1.4.541
Authors

Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 4,129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 <1%
United Kingdom 8 <1%
France 6 <1%
Germany 5 <1%
Brazil 5 <1%
Canada 4 <1%
Japan 3 <1%
Russia 3 <1%
Denmark 3 <1%
Other 29 <1%
Unknown 4047 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 832 20%
Student > Ph. D. Student 824 20%
Student > Bachelor 400 10%
Researcher 325 8%
Student > Doctoral Student 154 4%
Other 450 11%
Unknown 1144 28%
Readers by discipline Count As %
Computer Science 1382 33%
Engineering 780 19%
Physics and Astronomy 87 2%
Mathematics 78 2%
Agricultural and Biological Sciences 72 2%
Other 446 11%
Unknown 1284 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 120. 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 12 March 2024.
All research outputs
#351,148
of 25,547,324 outputs
Outputs from Neural Computation
#5
of 1,136 outputs
Outputs of similar age
#81
of 58,615 outputs
Outputs of similar age from Neural Computation
#1
of 6 outputs
Altmetric has tracked 25,547,324 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,136 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 99% 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 58,615 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 99% 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