You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Relevancer: Finding and Labeling Relevant Information in Tweet Collections
|
---|---|
Chapter number | 15 |
Book title |
Social Informatics
|
Published by |
Springer, Cham, November 2016
|
DOI | 10.1007/978-3-319-47874-6_15 |
Book ISBNs |
978-3-31-947873-9, 978-3-31-947874-6
|
Authors |
Ali Hürriyetoǧlu, Christian Gudehus, Nelleke Oostdijk, Antal van den Bosch, Antal van den Bosch, Hürriyetoǧlu, Ali, Gudehus, Christian, Oostdijk, Nelleke, Bosch, Antal |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 28% |
Other | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Student > Doctoral Student | 1 | 6% |
Other | 4 | 22% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 17% |
Social Sciences | 3 | 17% |
Linguistics | 2 | 11% |
Medicine and Dentistry | 2 | 11% |
Earth and Planetary Sciences | 1 | 6% |
Other | 3 | 17% |
Unknown | 4 | 22% |