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X Demographics
Mendeley readers
Chapter title |
Active Ageing Typologies: A Latent Class Analysis of the Older Europeans
|
---|---|
Chapter number | 14 |
Book title |
Building Evidence for Active Ageing Policies
|
Published by |
Palgrave Macmillan, Singapore, January 2018
|
DOI | 10.1007/978-981-10-6017-5_14 |
Book ISBNs |
978-9-81-106016-8, 978-9-81-106017-5
|
Authors |
Bruno Arpino, Valeria Bordone |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 11% |
Germany | 1 | 11% |
Unknown | 7 | 78% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 44% |
Scientists | 4 | 44% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 5 | 31% |
Researcher | 4 | 25% |
Student > Ph. D. Student | 2 | 13% |
Unspecified | 1 | 6% |
Student > Master | 1 | 6% |
Other | 1 | 6% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 6 | 38% |
Unspecified | 1 | 6% |
Mathematics | 1 | 6% |
Chemical Engineering | 1 | 6% |
Computer Science | 1 | 6% |
Other | 3 | 19% |
Unknown | 3 | 19% |