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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Towards Explainable Artificial Intelligence
|
|---|---|
| Chapter number | 1 |
| Book title |
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
|
| Published in |
arXiv, September 2019
|
| DOI | 10.1007/978-3-030-28954-6_1 |
| Book ISBNs |
978-3-03-028953-9, 978-3-03-028954-6
|
| Authors |
Wojciech Samek, Klaus-Robert Müller |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 561 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 561 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 82 | 15% |
| Student > Ph. D. Student | 79 | 14% |
| Student > Bachelor | 43 | 8% |
| Researcher | 42 | 7% |
| Lecturer | 20 | 4% |
| Other | 70 | 12% |
| Unknown | 225 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 158 | 28% |
| Engineering | 47 | 8% |
| Business, Management and Accounting | 22 | 4% |
| Social Sciences | 11 | 2% |
| Medicine and Dentistry | 9 | 2% |
| Other | 71 | 13% |
| Unknown | 243 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 83. 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 04 July 2022.
All research outputs
#474,548
of 24,099,692 outputs
Outputs from arXiv
#5,921
of 1,020,419 outputs
Outputs of similar age
#10,541
of 344,214 outputs
Outputs of similar age from arXiv
#172
of 28,129 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 99% 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 344,214 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 28,129 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.