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Mendeley readers
Chapter title |
A Hybrid Protocol for Identifying Comorbidity-Based Potential Drugs for COVID-19 Using Biomedical Literature Mining, Network Analysis, and Deep Learning
|
---|---|
Chapter number | 11 |
Book title |
Biomedical Text Mining
|
Published by |
Humana, New York, NY, June 2022
|
DOI | 10.1007/978-1-0716-2305-3_11 |
Pubmed ID | |
Book ISBNs |
978-1-07-162304-6, 978-1-07-162305-3
|
Authors |
Archana Prabahar, Anbumathi Palanisamy, Prabahar, Archana, Palanisamy, Anbumathi |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 25% |
Student > Doctoral Student | 1 | 6% |
Lecturer | 1 | 6% |
Student > Master | 1 | 6% |
Researcher | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 19% |
Environmental Science | 2 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
Nursing and Health Professions | 1 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 50% |