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Mendeley readers
Chapter title |
The Investigation of Meat Classification Based on Significant Authentication Features Using Odor-Profile Intelligent Signal Processing Approach
|
---|---|
Chapter number | 16 |
Book title |
InECCE2019
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-15-2317-5_16 |
Book ISBNs |
978-9-81-152316-8, 978-9-81-152317-5
|
Authors |
Nur Farina Hamidon Majid, Muhammad Sharfi Najib, Suhaimi Mohd Daud, Nurdiyana Zahed, Muhamad Faruqi Zahari, Suziyanti Zaib, Mujahid Mohamad, Tuan Sidek Tuan Muda, Hadi Manap, Majid, Nur Farina Hamidon, Najib, Muhammad Sharfi, Daud, Suhaimi Mohd, Zahed, Nurdiyana, Zahari, Muhamad Faruqi, Zaib, Suziyanti, Mohamad, Mujahid, Muda, Tuan Sidek Tuan, Manap, Hadi |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer > Senior Lecturer | 2 | 13% |
Student > Bachelor | 2 | 13% |
Other | 1 | 7% |
Lecturer | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Other | 1 | 7% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 20% |
Economics, Econometrics and Finance | 2 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Arts and Humanities | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 47% |