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Distributed representations, simple recurrent networks, and grammatical structure

Overview of attention for article published in Machine Learning, September 1991
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 1,264)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
999 Dimensions

Readers on

mendeley
211 Mendeley
citeulike
3 CiteULike
Title
Distributed representations, simple recurrent networks, and grammatical structure
Published in
Machine Learning, September 1991
DOI 10.1007/bf00114844
Authors

Jeffrey L. Elman

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 5%
Germany 5 2%
United Kingdom 4 2%
Brazil 4 2%
France 3 1%
Netherlands 3 1%
Iran, Islamic Republic of 2 <1%
Finland 1 <1%
India 1 <1%
Other 8 4%
Unknown 169 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 30%
Researcher 36 17%
Student > Master 29 14%
Professor > Associate Professor 14 7%
Student > Bachelor 12 6%
Other 40 19%
Unknown 16 8%
Readers by discipline Count As %
Computer Science 78 37%
Psychology 30 14%
Linguistics 23 11%
Engineering 13 6%
Neuroscience 9 4%
Other 32 15%
Unknown 26 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 April 2023.
All research outputs
#1,990,061
of 25,744,802 outputs
Outputs from Machine Learning
#44
of 1,264 outputs
Outputs of similar age
#354
of 16,143 outputs
Outputs of similar age from Machine Learning
#1
of 4 outputs
Altmetric has tracked 25,744,802 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,264 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 96% 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 16,143 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 97% of its contemporaries.
We're also able to compare this research output to 4 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