Coronavirus Disease - COVID-19
Springer International Publishing
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Mendeley readers
| Chapter title |
Retrieval and Investigation of Data on SARS-CoV-2 and COVID-19 Using Bioinformatics Approach
|
|---|---|
| Book title |
Coronavirus Disease - COVID-19
|
| Published by |
Springer, Cham, May 2021
|
| DOI | 10.1007/978-3-030-63761-3_47 |
| Pubmed ID | |
| Book ISBNs |
978-3-03-063760-6, 978-3-03-063761-3
|
| Authors |
Muhamad Fahmi, Viol Dhea Kharisma, Arif Nur Muhammad Ansori, Masahiro Ito, Fahmi, Muhamad, Kharisma, Viol Dhea, Ansori, Arif Nur Muhammad, Ito, Masahiro |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 13% |
| Lecturer | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 20 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 13% |
| Agricultural and Biological Sciences | 4 | 10% |
| Nursing and Health Professions | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Mathematics | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 21 | 53% |