Software Quality: Future Perspectives on Software Engineering Quality
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Hidden Feedback Loops in Machine Learning Systems: A Simulation Model and Preliminary Results
|
|---|---|
| Book title |
Software Quality: Future Perspectives on Software Engineering Quality
|
| Published in |
arXiv, January 2021
|
| DOI | 10.1007/978-3-030-65854-0_5 |
| Book ISBNs |
978-3-03-065853-3, 978-3-03-065854-0
|
| Authors |
Anton Khritankov, Khritankov, Anton |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 29% |
| India | 1 | 7% |
| United Kingdom | 1 | 7% |
| Austria | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 93% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Student > Master | 1 | 11% |
| Researcher | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 33% |
| Linguistics | 1 | 11% |
| Psychology | 1 | 11% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 October 2022.
All research outputs
#6,646,684
of 24,549,201 outputs
Outputs from arXiv
#129,409
of 990,305 outputs
Outputs of similar age
#154,842
of 513,864 outputs
Outputs of similar age from arXiv
#4,267
of 30,591 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 990,305 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 86% 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 513,864 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 30,591 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.