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Twitter Demographics
Mendeley readers
Chapter title |
Generating Value from Government Data Using AI: An Exploratory Study
|
---|---|
Chapter number | 24 |
Book title |
Electronic Government
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-57599-1_24 |
Book ISBNs |
978-3-03-057598-4, 978-3-03-057599-1
|
Authors |
Yingying Gao, Marijn Janssen, Gao, Yingying, Janssen, Marijn |
Twitter Demographics
The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 3 | 38% |
Mexico | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 98 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 13% |
Student > Doctoral Student | 12 | 12% |
Student > Master | 9 | 9% |
Researcher | 8 | 8% |
Unspecified | 6 | 6% |
Other | 15 | 15% |
Unknown | 35 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 16 | 16% |
Computer Science | 15 | 15% |
Business, Management and Accounting | 11 | 11% |
Unspecified | 7 | 7% |
Decision Sciences | 3 | 3% |
Other | 9 | 9% |
Unknown | 37 | 38% |