Standard
A machine-learning approach to coding book reviews as quality indicators: towards a theory of mega-citation. / Zuccala, Alesia; van Someren, M.; van Bellen, M.
In:
American Society for Information Science and Technology. Journal, 2014.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Zuccala, A, van Someren, M & van Bellen, M 2014, '
A machine-learning approach to coding book reviews as quality indicators: towards a theory of mega-citation',
American Society for Information Science and Technology. Journal.
https://doi.org/10.1002/asi.23104
APA
Zuccala, A., van Someren, M., & van Bellen, M. (2014).
A machine-learning approach to coding book reviews as quality indicators: towards a theory of mega-citation.
American Society for Information Science and Technology. Journal.
https://doi.org/10.1002/asi.23104
Vancouver
Zuccala A, van Someren M, van Bellen M.
A machine-learning approach to coding book reviews as quality indicators: towards a theory of mega-citation.
American Society for Information Science and Technology. Journal. 2014.
https://doi.org/10.1002/asi.23104
Author
Zuccala, Alesia ; van Someren, M. ; van Bellen, M. / A machine-learning approach to coding book reviews as quality indicators: towards a theory of mega-citation. In: American Society for Information Science and Technology. Journal. 2014.
Bibtex
@article{f895ca61cdc249f19c8dd8554bb80541,
title = "A machine-learning approach to coding book reviews as quality indicators: towards a theory of mega-citation",
author = "Alesia Zuccala and {van Someren}, M. and {van Bellen}, M.",
year = "2014",
doi = "10.1002/asi.23104",
language = "English",
journal = "American Society for Information Science and Technology. Journal",
issn = "2330-1635",
publisher = "Wiley",
}
RIS
TY - JOUR
T1 - A machine-learning approach to coding book reviews as quality indicators: towards a theory of mega-citation
AU - Zuccala, Alesia
AU - van Someren, M.
AU - van Bellen, M.
PY - 2014
Y1 - 2014
U2 - 10.1002/asi.23104
DO - 10.1002/asi.23104
M3 - Journal article
JO - American Society for Information Science and Technology. Journal
JF - American Society for Information Science and Technology. Journal
SN - 2330-1635
ER -
