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Timeline
Mendeley readers
Chapter title |
OntoCOVID: Ontology for Semantic Modeling of COVID19 Statistical Data
|
---|---|
Chapter number | 16 |
Book title |
Proceedings of International Conference on Information Technology and Applications
|
Published by |
Springer, Singapore, April 2022
|
DOI | 10.1007/978-981-16-7618-5_16 |
Book ISBNs |
978-9-81-167617-8, 978-9-81-167618-5
|
Authors |
Ali, Shaukat, Khusro, Shah, Anwar, Sajid, Ullah, Abrar |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 1 | 20% |
Unknown | 4 | 80% |
Readers by discipline | Count | As % |
---|---|---|
Decision Sciences | 1 | 20% |
Unknown | 4 | 80% |