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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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 66 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 21% |
Student > Ph. D. Student | 13 | 20% |
Professor | 4 | 6% |
Student > Bachelor | 4 | 6% |
Researcher | 3 | 5% |
Other | 8 | 12% |
Unknown | 20 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 27 | 41% |
Business, Management and Accounting | 5 | 8% |
Social Sciences | 4 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Economics, Econometrics and Finance | 1 | 2% |
Other | 6 | 9% |
Unknown | 22 | 33% |