IoMT Potential Impact in COVID-19: Combating a Pandemic with Innovation
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
Springer, Singapore, October 2020
Mohd Faizan Siddiqui, Siddiqui, Mohd Faizan
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
|United Arab Emirates||2||33%|
|Members of the public||4||67%|
|Practitioners (doctors, other healthcare professionals)||1||17%|
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Doctoral Student||2||8%|
|Student > Postgraduate||2||8%|
|Professor > Associate Professor||2||8%|
|Readers by discipline||Count||As %|
|Medicine and Dentistry||3||12%|
|Biochemistry, Genetics and Molecular Biology||2||8%|