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X Demographics
Mendeley readers
| Title |
Learning About Work Tasks to Inform Intelligent Assistant Design
|
|---|---|
| Published by |
Association for Computing Machinery (ACM), March 2019
|
| DOI | 10.1145/3295750.3298934 |
| Authors |
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Hassan Awadallah, Peter Bailey, Paul N. Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 21% |
| Student > Ph. D. Student | 13 | 19% |
| Professor | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Researcher | 3 | 4% |
| Other | 10 | 15% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 40% |
| Business, Management and Accounting | 5 | 7% |
| Social Sciences | 4 | 6% |
| Unspecified | 2 | 3% |
| Arts and Humanities | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 22 | 32% |