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Semi-Stochastic Gradient Descent Methods

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, May 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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69 Dimensions

Readers on

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99 Mendeley
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Title
Semi-Stochastic Gradient Descent Methods
Published in
Frontiers in Applied Mathematics and Statistics, May 2017
DOI 10.3389/fams.2017.00009
Authors

Jakub Konečný, Peter Richtárik

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
Canada 1 1%
New Zealand 1 1%
Denmark 1 1%
Japan 1 1%
Unknown 94 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 31%
Researcher 12 12%
Student > Bachelor 10 10%
Student > Master 9 9%
Student > Doctoral Student 6 6%
Other 19 19%
Unknown 12 12%
Readers by discipline Count As %
Computer Science 40 40%
Engineering 18 18%
Mathematics 13 13%
Business, Management and Accounting 4 4%
Agricultural and Biological Sciences 1 1%
Other 4 4%
Unknown 19 19%
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 24 May 2017.
All research outputs
#14,344,573
of 22,971,207 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#94
of 340 outputs
Outputs of similar age
#175,335
of 313,684 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#5
of 9 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 340 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 67% 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 313,684 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.