Applied Informatics
Springer International Publishing
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X Demographics
Mendeley readers
| Chapter title |
An Improved Machine Learnings Diagnosis Technique for COVID-19 Pandemic Using Chest X-ray Images
|
|---|---|
| Book title |
Applied Informatics
|
| Published by |
Springer, Cham, October 2021
|
| DOI | 10.1007/978-3-030-89654-6_23 |
| Book ISBNs |
978-3-03-089653-9, 978-3-03-089654-6
|
| Authors |
Awotunde, Joseph Bamidele, Ajagbe, Sunday Adeola, Oladipupo, Matthew A., Awokola, Jimmisayo A., Afolabi, Olakunle S., Mathew, Timothy O., Oguns, Yetunde J. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Lecturer | 1 | 9% |
| Student > Master | 1 | 9% |
| Researcher | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 45% |
| Veterinary Science and Veterinary Medicine | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Unknown | 4 | 36% |