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X Demographics
Mendeley readers
Chapter title |
Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques
|
---|---|
Chapter number | 12 |
Book title |
Computer Vision and Machine Intelligence in Medical Image Analysis
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-13-8798-2_12 |
Book ISBNs |
978-9-81-138797-5, 978-9-81-138798-2
|
Authors |
M. M. Faniqul Islam, Rahatara Ferdousi, Sadikur Rahman, Humayra Yasmin Bushra, Islam, M. M. Faniqul, Ferdousi, Rahatara, Rahman, Sadikur, Bushra, Humayra Yasmin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Bangladesh | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 207 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 11% |
Lecturer | 15 | 7% |
Student > Bachelor | 15 | 7% |
Student > Ph. D. Student | 12 | 6% |
Researcher | 5 | 2% |
Other | 18 | 9% |
Unknown | 120 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 51 | 25% |
Engineering | 12 | 6% |
Mathematics | 5 | 2% |
Chemistry | 3 | 1% |
Nursing and Health Professions | 2 | <1% |
Other | 9 | 4% |
Unknown | 125 | 60% |