The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Title |
Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
|
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Published in |
Construction & Building Materials, January 2023
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DOI | 10.1016/j.conbuildmat.2022.129871 |
Authors |
Abdulnaser M. Al-Sabaeei, Hitham Alhussian, Said Jadid Abdulkadir, Filippo Giustozzi, Fauzan Mohd Jakarni, Nur Izzi Md Yusoff |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 12% |
Researcher | 2 | 12% |
Lecturer | 1 | 6% |
Unspecified | 1 | 6% |
Other | 1 | 6% |
Other | 1 | 6% |
Unknown | 9 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 35% |
Social Sciences | 1 | 6% |
Unspecified | 1 | 6% |
Unknown | 9 | 53% |