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Mendeley readers
Title |
AliClu - Temporal sequence alignment for clustering longitudinal clinical data
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, December 2019
|
DOI | 10.1186/s12911-019-1013-7 |
Pubmed ID | |
Authors |
Kishan Rama, Helena Canhão, Alexandra M. Carvalho, Susana Vinga |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 16% |
Student > Bachelor | 3 | 10% |
Student > Master | 3 | 10% |
Researcher | 2 | 6% |
Librarian | 2 | 6% |
Other | 3 | 10% |
Unknown | 13 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 16% |
Engineering | 3 | 10% |
Medicine and Dentistry | 3 | 10% |
Agricultural and Biological Sciences | 2 | 6% |
Mathematics | 1 | 3% |
Other | 4 | 13% |
Unknown | 13 | 42% |