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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Non-convergence and Limit Cycles in the Adam Optimizer
|
---|---|
Chapter number | 20 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning
|
Published in |
arXiv, September 2019
|
DOI | 10.1007/978-3-030-30484-3_20 |
Book ISBNs |
978-3-03-030483-6, 978-3-03-030484-3
|
Authors |
Sebastian Bock, Martin Weiß, Bock, Sebastian, Weiß, Martin, Martin Georg Weiß |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 14% |
Student > Bachelor | 1 | 14% |
Lecturer | 1 | 14% |
Other | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 29% |
Economics, Econometrics and Finance | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 3 | 43% |
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 06 October 2022.
All research outputs
#18,912,355
of 24,093,053 outputs
Outputs from arXiv
#476,986
of 1,020,419 outputs
Outputs of similar age
#243,516
of 344,317 outputs
Outputs of similar age from arXiv
#13,625
of 28,086 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% 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 344,317 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,086 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.