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Twitter Demographics
Mendeley readers
Chapter title |
Releasing Personal Information Within Learning Analytics Systems
|
---|---|
Chapter number | 1 |
Book title |
Learning Technologies for Transforming Large-Scale Teaching, Learning, and Assessment
|
Published by |
Springer, Cham, May 2019
|
DOI | 10.1007/978-3-030-15130-0_1 |
Book ISBNs |
978-3-03-015129-4, 978-3-03-015130-0
|
Authors |
Dirk Ifenthaler, Clara Schumacher |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 20% |
Student > Ph. D. Student | 5 | 17% |
Professor | 4 | 13% |
Unspecified | 4 | 13% |
Researcher | 3 | 10% |
Other | 6 | 20% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 43% |
Social Sciences | 5 | 17% |
Unspecified | 4 | 13% |
Arts and Humanities | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 1 | 3% |
Unknown | 5 | 17% |