Quality of Information and Communications Technology
Springer International Publishing
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Towards Guidelines for Assessing Qualities of Machine Learning Systems
|
|---|---|
| Book title |
Quality of Information and Communications Technology
|
| Published in |
arXiv, August 2020
|
| DOI | 10.1007/978-3-030-58793-2_2 |
| Book ISBNs |
978-3-03-058792-5, 978-3-03-058793-2
|
| Authors |
Julien Siebert, Lisa Joeckel, Jens Heidrich, Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama, Siebert, Julien, Joeckel, Lisa, Heidrich, Jens, Nakamichi, Koji, Ohashi, Kyoko, Namba, Isao, Yamamoto, Rieko, Aoyama, Mikio |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Researcher | 4 | 8% |
| Lecturer | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 23 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 28% |
| Engineering | 4 | 8% |
| Business, Management and Accounting | 1 | 2% |
| Linguistics | 1 | 2% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 26 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 15 February 2022.
All research outputs
#3,497,975
of 24,093,053 outputs
Outputs from arXiv
#65,324
of 1,020,419 outputs
Outputs of similar age
#87,065
of 401,786 outputs
Outputs of similar age from arXiv
#2,072
of 32,191 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% 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 93% 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 401,786 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 32,191 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 93% of its contemporaries.