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Mendeley readers
| Title |
IoT Big Data provenance scheme using blockchain on Hadoop ecosystem
|
|---|---|
| Published in |
Journal of Big Data, August 2021
|
| DOI | 10.1186/s40537-021-00505-y |
| Authors |
Houshyar Honar Pajooh, Mohammed A. Rashid, Fakhrul Alam, Serge Demidenko |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 11 | 11% |
| Student > Master | 10 | 10% |
| Student > Ph. D. Student | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Professor | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 51 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 24% |
| Unspecified | 11 | 11% |
| Business, Management and Accounting | 6 | 6% |
| Engineering | 3 | 3% |
| Social Sciences | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 51 | 50% |