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Moving Learning Machine towards Fast Real-Time Applications: A High-Speed FPGA-Based Implementation of the OS-ELM Training Algorithm

Overview of attention for article published in Electronics (Basel), November 2018
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Mentioned by

twitter
1 tweeter

Citations

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10 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Moving Learning Machine towards Fast Real-Time Applications: A High-Speed FPGA-Based Implementation of the OS-ELM Training Algorithm
Published in
Electronics (Basel), November 2018
DOI 10.3390/electronics7110308
Authors

Jose V.  Frances-Villora, Alfredo Rosado-Muñoz, Manuel  Bataller-Mompean, Juan  Barrios-Aviles, Juan F.  Guerrero-Martinez

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Ph. D. Student 2 25%
Professor 1 13%
Student > Doctoral Student 1 13%
Unspecified 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 2 25%
Medicine and Dentistry 1 13%
Nursing and Health Professions 1 13%
Neuroscience 1 13%
Engineering 1 13%
Other 0 0%
Unknown 2 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 November 2018.
All research outputs
#12,254,162
of 13,851,031 outputs
Outputs from Electronics (Basel)
#588
of 778 outputs
Outputs of similar age
#224,181
of 259,430 outputs
Outputs of similar age from Electronics (Basel)
#40
of 47 outputs
Altmetric has tracked 13,851,031 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 778 research outputs from this source. They receive a mean Attention Score of 1.4. This one is in the 1st percentile – i.e., 1% 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 259,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.