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Strong Semantic Systematicity from Hebbian Connectionist Learning

Overview of attention for article published in Minds and Machines, February 1997
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
21 Mendeley
citeulike
1 CiteULike
Title
Strong Semantic Systematicity from Hebbian Connectionist Learning
Published in
Minds and Machines, February 1997
DOI 10.1023/a:1008252408222
Authors

Robert F. Hadley, Michael B. Hayward

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Virgin Islands, U.S. 1 5%
South Africa 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Professor > Associate Professor 3 14%
Student > Bachelor 2 10%
Professor 2 10%
Lecturer 1 5%
Other 4 19%
Unknown 3 14%
Readers by discipline Count As %
Philosophy 4 19%
Psychology 4 19%
Computer Science 3 14%
Linguistics 2 10%
Social Sciences 2 10%
Other 3 14%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2016.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Minds and Machines
#151
of 336 outputs
Outputs of similar age
#20,410
of 93,673 outputs
Outputs of similar age from Minds and Machines
#1
of 1 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 336 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 44th percentile – i.e., 44% 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 93,673 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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