The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
Mendeley readers
Title |
Applications of Data Analytics and Machine Learning for Digital Twin-based Precision Biodiversity: A Review
|
---|---|
Published by |
Institute of Electrical and Electronics Engineers (IEEE), November 2022
|
DOI | 10.1109/icacnis57039.2022.10055149 |
Authors |
Nurfadhlina Mohd Sharef, Nurul Amelina Nasharuddin, Raihani Mohamed, Nabila Wardah Zamani, Mohd Hafeez Osman, Razali Yaakob |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 18% |
Student > Postgraduate | 1 | 6% |
Lecturer > Senior Lecturer | 1 | 6% |
Other | 1 | 6% |
Lecturer | 1 | 6% |
Other | 5 | 29% |
Unknown | 5 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 35% |
Computer Science | 2 | 12% |
Unspecified | 1 | 6% |
Materials Science | 1 | 6% |
Environmental Science | 1 | 6% |
Other | 0 | 0% |
Unknown | 6 | 35% |