Title |
Electronic health record and blockchain architecture: forensic chain hypothesis for human identification
|
---|---|
Published in |
Egyptian Journal of Forensic Sciences, October 2020
|
DOI | 10.1186/s41935-020-00209-z |
Authors |
E. Nuzzolese |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Spain | 1 | 33% |
Italy | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 15% |
Student > Postgraduate | 3 | 6% |
Student > Doctoral Student | 3 | 6% |
Student > Bachelor | 3 | 6% |
Student > Master | 3 | 6% |
Other | 9 | 19% |
Unknown | 19 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 28% |
Engineering | 5 | 11% |
Medicine and Dentistry | 4 | 9% |
Social Sciences | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 4 | 9% |
Unknown | 18 | 38% |