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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge
|
---|---|
Chapter number | 38 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions
|
Published in |
arXiv, September 2019
|
DOI | 10.1007/978-3-030-30493-5_38 |
Book ISBNs |
978-3-03-030492-8, 978-3-03-030493-5
|
Authors |
Raoul Heese, Michał Walczak, Lukas Morand, Dirk Helm, Michael Bortz, Heese, Raoul, Walczak, Michał, Morand, Lukas, Helm, Dirk, Bortz, Michael |
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 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 % |
---|---|---|
Researcher | 5 | 63% |
Student > Bachelor | 2 | 25% |
Student > Ph. D. Student | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 25% |
Mathematics | 1 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 13% |
Agricultural and Biological Sciences | 1 | 13% |
Engineering | 1 | 13% |
Other | 0 | 0% |
Unknown | 2 | 25% |
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 26 July 2019.
All research outputs
#18,025,888
of 23,153,184 outputs
Outputs from arXiv
#445,939
of 952,324 outputs
Outputs of similar age
#240,606
of 342,558 outputs
Outputs of similar age from arXiv
#14,010
of 28,569 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 952,324 research outputs from this source. They receive a mean Attention Score of 3.9. 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 342,558 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,569 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.