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What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle

Overview of attention for article published in Cognitive Computation, May 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

wikipedia
6 Wikipedia pages

Citations

dimensions_citation
381 Dimensions

Readers on

mendeley
400 Mendeley
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Title
What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle
Published in
Cognitive Computation, May 2015
DOI 10.1007/s12559-015-9333-0
Authors

Guang-Bin Huang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 400 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 3 <1%
Turkey 2 <1%
Japan 2 <1%
Malaysia 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Indonesia 1 <1%
Italy 1 <1%
Israel 1 <1%
Other 5 1%
Unknown 382 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 89 22%
Student > Master 78 20%
Researcher 42 11%
Student > Bachelor 28 7%
Professor 20 5%
Other 77 19%
Unknown 66 17%
Readers by discipline Count As %
Computer Science 135 34%
Engineering 103 26%
Mathematics 15 4%
Physics and Astronomy 13 3%
Psychology 8 2%
Other 39 10%
Unknown 87 22%
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 04 April 2024.
All research outputs
#7,466,608
of 22,826,360 outputs
Outputs from Cognitive Computation
#69
of 412 outputs
Outputs of similar age
#90,461
of 264,664 outputs
Outputs of similar age from Cognitive Computation
#4
of 14 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 412 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 78% 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 264,664 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 14 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 71% of its contemporaries.