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Mendeley readers
Chapter title |
An Unsupervised Text-Mining Approach and a Hybrid Methodology to Improve Early Warnings in Construction Project Management
|
---|---|
Chapter number | 4 |
Book title |
Intelligent Systems and Applications
|
Published by |
Springer, Cham, January 2016
|
DOI | 10.1007/978-3-319-33386-1_4 |
Book ISBNs |
978-3-31-933384-7, 978-3-31-933386-1
|
Authors |
Mohammed Alsubaey, Ahmad Asadi, Charalampos Makatsoris, Alsubaey, Mohammed, Asadi, Ahmad, Makatsoris, Charalampos |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 25% |
Student > Bachelor | 3 | 13% |
Student > Master | 2 | 8% |
Researcher | 2 | 8% |
Professor | 1 | 4% |
Other | 2 | 8% |
Unknown | 8 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 9 | 38% |
Business, Management and Accounting | 2 | 8% |
Decision Sciences | 1 | 4% |
Environmental Science | 1 | 4% |
Materials Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 9 | 38% |