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X Demographics
Mendeley readers
| Title |
A lightweight and secure online/offline cross-domain authentication scheme for VANET systems in Industrial IoT
|
|---|---|
| Published in |
PeerJ Computer Science, December 2021
|
| DOI | 10.7717/peerj-cs.714 |
| Pubmed ID | |
| Authors |
Haqi Khalid, Shaiful Jahari Hashim, Sharifah Mumtazah Syed Ahmad, Fazirulhisyam Hashim, Muhammad Akmal Chaudhary |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 22% |
| Researcher | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Unspecified | 1 | 6% |
| Lecturer | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 39% |
| Unspecified | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Engineering | 1 | 6% |
| Unknown | 8 | 44% |