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X Demographics
Mendeley readers
| Title |
From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)
|
|---|---|
| Published in |
Dagstuhl Manifestos, January 2018
|
| DOI | 10.4230/dagman.7.1.96 |
| URN |
urn:nbn:de:0030-drops-98987
|
| Authors |
Ferro, Nicola, Fuhr, Norbert, Grefenstette, Gregory, Konstan, Joseph A., Castells, Pablo, Daly, Elizabeth M., Declerck, Thierry, Ekstrand, Michael D., Geyer, Werner, Gonzalo, Julio, Kuflik, Tsvi, Lind, Magnini, Bernardo, Nie, Jian-Yun, Perego, Raffaele, Shapira, Bracha, Soboroff, Ian, Tintarev, Nava, Verspoor, Karin, Willemsen, Martijn C., Zobel, Justin, Lindén, Krister |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 27% |
| Spain | 2 | 18% |
| Australia | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 25% |
| Unknown | 3 | 75% |
| Readers by discipline | Count | As % |
|---|---|---|
| Design | 1 | 25% |
| Unknown | 3 | 75% |