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 |
Detecting the Likely Causes Behind the Emotion Spikes of Influential Twitter Users
|
---|---|
Chapter number | 29 |
Book title |
Computational Linguistics and Intelligent Text Processing
|
Published by |
Springer, Cham, April 2016
|
DOI | 10.1007/978-3-319-75487-1_29 |
Book ISBNs |
978-3-31-975486-4, 978-3-31-975487-1
|
Authors |
Calkin Suero Montero, Hatem Haddad, Maxim Mozgovoy, Chedi Bechikh Ali, Suero Montero, Calkin, Haddad, Hatem, Mozgovoy, Maxim, Ali, Chedi Bechikh |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 8% |
Unknown | 11 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 25% |
Student > Ph. D. Student | 2 | 17% |
Student > Master | 2 | 17% |
Student > Doctoral Student | 1 | 8% |
Other | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 42% |
Mathematics | 1 | 8% |
Psychology | 1 | 8% |
Decision Sciences | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 25% |