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Mendeley readers
Chapter title |
Assessment of regional myocardial function via statistical features in MR images.
|
---|---|
Chapter number | 14 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
|
Published by |
Springer, Berlin, Heidelberg, September 2011
|
DOI | 10.1007/978-3-642-23626-6_14 |
Pubmed ID | |
Book ISBNs |
978-3-64-223625-9, 978-3-64-223626-6
|
Authors |
Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian Ross, Terry Peters, Shuo Li, Afshin, Mariam, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Law, Max W. K., Islam, Ali, Goela, Aashish, Ross, Ian, Peters, Terry, Li, Shuo |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 8% |
New Zealand | 1 | 4% |
France | 1 | 4% |
Unknown | 21 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 36% |
Student > Ph. D. Student | 5 | 20% |
Student > Doctoral Student | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Student > Bachelor | 1 | 4% |
Other | 5 | 20% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 44% |
Engineering | 8 | 32% |
Medicine and Dentistry | 2 | 8% |
Agricultural and Biological Sciences | 1 | 4% |
Social Sciences | 1 | 4% |
Other | 0 | 0% |
Unknown | 2 | 8% |