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 |
Predicting Procedure Duration to Improve Scheduling of Elective Surgery
|
---|---|
Chapter number | 86 |
Book title |
PRICAI 2014: Trends in Artificial Intelligence
|
Published by |
Springer, Cham, December 2014
|
DOI | 10.1007/978-3-319-13560-1_86 |
Book ISBNs |
978-3-31-913559-5, 978-3-31-913560-1
|
Authors |
Zahra ShahabiKargar, Sankalp Khanna, Norm Good, Abdul Sattar, James Lind, John O’Dwyer |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 3% |
Unknown | 33 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 29% |
Researcher | 4 | 12% |
Student > Ph. D. Student | 4 | 12% |
Student > Bachelor | 3 | 9% |
Other | 2 | 6% |
Other | 3 | 9% |
Unknown | 8 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 21% |
Computer Science | 4 | 12% |
Medicine and Dentistry | 4 | 12% |
Business, Management and Accounting | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 4 | 12% |
Unknown | 12 | 35% |