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 |
A Hierarchical Model for Data-to-Text Generation
|
---|---|
Chapter number | 5 |
Book title |
Advances in Information Retrieval
|
Published by |
Springer, Cham, April 2020
|
DOI | 10.1007/978-3-030-45439-5_5 |
Book ISBNs |
978-3-03-045438-8, 978-3-03-045439-5
|
Authors |
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 78 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 15% |
Researcher | 12 | 15% |
Student > Master | 9 | 12% |
Student > Bachelor | 5 | 6% |
Student > Postgraduate | 4 | 5% |
Other | 13 | 17% |
Unknown | 23 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 43 | 55% |
Engineering | 2 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
Mathematics | 1 | 1% |
Agricultural and Biological Sciences | 1 | 1% |
Other | 5 | 6% |
Unknown | 25 | 32% |