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X Demographics
Mendeley readers
Chapter title |
Comparing Univariate and Multivariate Time Series Models for Technical Debt Forecasting
|
---|---|
Chapter number | 5 |
Book title |
Computational Science and Its Applications – ICCSA 2022 Workshops
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Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-10542-5_5 |
Book ISBNs |
978-3-03-110541-8, 978-3-03-110542-5
|
Authors |
Mathioudaki, Maria, Tsoukalas, Dimitrios, Siavvas, Miltiadis, Kehagias, Dionysios |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 1 | 33% |
Unknown | 2 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 1 | 33% |
Unknown | 2 | 67% |