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.
Mendeley readers
Chapter title |
Analytical Ideas to Improve Daily Demand Forecasts: A Case Study
|
---|---|
Chapter number | 3 |
Book title |
Intelligent Information and Database Systems
|
Published by |
Springer, Cham, April 2017
|
DOI | 10.1007/978-3-319-54430-4_3 |
Book ISBNs |
978-3-31-954429-8, 978-3-31-954430-4
|
Authors |
Sougata Deb |
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 % |
---|---|---|
Student > Ph. D. Student | 3 | 33% |
Unspecified | 1 | 11% |
Student > Bachelor | 1 | 11% |
Student > Master | 1 | 11% |
Unknown | 3 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 33% |
Unspecified | 1 | 11% |
Chemistry | 1 | 11% |
Engineering | 1 | 11% |
Unknown | 3 | 33% |