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A parallel and distributed stochastic gradient descent implementation using commodity clusters

Overview of attention for article published in Journal of Big Data, February 2019
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Mentioned by

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1 X user

Citations

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18 Dimensions

Readers on

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51 Mendeley
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Title
A parallel and distributed stochastic gradient descent implementation using commodity clusters
Published in
Journal of Big Data, February 2019
DOI 10.1186/s40537-019-0179-2
Authors

Robert K. L. Kennedy, Taghi M. Khoshgoftaar, Flavio Villanustre, Timothy Humphrey

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 14%
Student > Master 6 12%
Student > Ph. D. Student 5 10%
Student > Doctoral Student 3 6%
Librarian 2 4%
Other 7 14%
Unknown 21 41%
Readers by discipline Count As %
Computer Science 13 25%
Engineering 4 8%
Social Sciences 3 6%
Agricultural and Biological Sciences 2 4%
Business, Management and Accounting 2 4%
Other 6 12%
Unknown 21 41%
Attention Score in Context

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 14 February 2019.
All research outputs
#19,017,658
of 23,577,654 outputs
Outputs from Journal of Big Data
#268
of 356 outputs
Outputs of similar age
#334,487
of 450,843 outputs
Outputs of similar age from Journal of Big Data
#21
of 23 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 5th percentile – i.e., 5% 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 450,843 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 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.