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Mendeley readers
Chapter title |
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy
|
---|---|
Chapter number | 2 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59728-3_2 |
Pubmed ID | |
Book ISBNs |
978-3-03-059727-6, 978-3-03-059728-3
|
Authors |
Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang, the UNC/UMN Baby Connectome Project Consortium, Soussia, Mayssa, Wen, Xuyun, Zhou, Zhen, Jin, Bing, Kam, Tae-Eui, Hsu, Li-Ming, Wu, Zhengwang, Li, Gang, Wang, Li, Rekik, Islem, Lin, Weili, Shen, Dinggang, Zhang, Han |
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 | 2 | 22% |
Other | 1 | 11% |
Student > Doctoral Student | 1 | 11% |
Lecturer | 1 | 11% |
Student > Bachelor | 1 | 11% |
Other | 1 | 11% |
Unknown | 2 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 22% |
Nursing and Health Professions | 1 | 11% |
Physics and Astronomy | 1 | 11% |
Social Sciences | 1 | 11% |
Unknown | 4 | 44% |