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Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments

Overview of attention for article published in Frontiers in Robotics and AI, August 2019
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments
Published in
Frontiers in Robotics and AI, August 2019
DOI 10.3389/frobt.2019.00077
Pubmed ID
Authors

Kazuhiro Hishinuma, Hideaki Iiduka

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 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 > Bachelor 2 25%
Student > Ph. D. Student 1 13%
Unspecified 1 13%
Other 1 13%
Student > Doctoral Student 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 2 25%
Biochemistry, Genetics and Molecular Biology 1 13%
Unspecified 1 13%
Decision Sciences 1 13%
Engineering 1 13%
Other 0 0%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 August 2019.
All research outputs
#15,660,793
of 23,885,338 outputs
Outputs from Frontiers in Robotics and AI
#938
of 1,594 outputs
Outputs of similar age
#202,563
of 343,037 outputs
Outputs of similar age from Frontiers in Robotics and AI
#26
of 42 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 32nd percentile – i.e., 32% 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 343,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.