You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Enhancements to the Sequence-to-Sequence-Based Natural Answer Generation Models
|
|---|---|
| Published in |
IEEE Access, March 2020
|
| DOI | 10.1109/access.2020.2978551 |
| Authors |
Kulothunkan Palasundram, Nurfadhlina Mohd Sharef, Khairul Azhar Kasmiran, Azreen Azman |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 8% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Researcher | 4 | 7% |
| Other | 8 | 13% |
| Unknown | 30 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 33% |
| Engineering | 4 | 7% |
| Business, Management and Accounting | 3 | 5% |
| Linguistics | 2 | 3% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 29 | 48% |