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Functional and Constraint Logic Programming

Overview of attention for book
Attention for Chapter 10: Functional Federated Learning in Erlang ( ffl-erl )
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

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mendeley
23 Mendeley
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Chapter title
Functional Federated Learning in Erlang ( ffl-erl )
Chapter number 10
Book title
Functional and Constraint Logic Programming
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-16202-3_10
Book ISBNs
978-3-03-016201-6, 978-3-03-016202-3
Authors

Gregor Ulm, Emil Gustavsson, Mats Jirstrand, Ulm, Gregor, Gustavsson, Emil, Jirstrand, Mats

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 13%
Student > Ph. D. Student 3 13%
Student > Master 3 13%
Researcher 2 9%
Professor > Associate Professor 2 9%
Other 2 9%
Unknown 8 35%
Readers by discipline Count As %
Computer Science 8 35%
Engineering 4 17%
Decision Sciences 1 4%
Mathematics 1 4%
Unknown 9 39%
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 12 December 2018.
All research outputs
#15,751,441
of 24,002,307 outputs
Outputs from arXiv
#351,916
of 1,011,770 outputs
Outputs of similar age
#205,393
of 339,456 outputs
Outputs of similar age from arXiv
#10,701
of 24,478 outputs
Altmetric has tracked 24,002,307 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 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% 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 339,456 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,478 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.