Decision tree models to classify nanomaterials according to the DF4nanoGrouping scheme

Agnieszka Gajewicz , Tomasz Puzyn , Katarzyna Odziomek , Piotr Urbaszek , Andrea Haase , Christian Riebeling , Andreas Luch , Muhammad A. Irfan , Robert Landsiedel , Meike van der Zande , Hans Bouwmeester

Abstract

n/a
Author Agnieszka Gajewicz PChŚ
Agnieszka Gajewicz,,
- Laboratory of Environmental Chemometrics
, Tomasz Puzyn PChŚ
Tomasz Puzyn,,
- Laboratory of Environmental Chemometrics
, Katarzyna Odziomek PChŚ
Katarzyna Odziomek ,,
- Laboratory of Environmental Chemometrics
, Piotr Urbaszek PChŚ
Piotr Urbaszek,,
- Laboratory of Environmental Chemometrics
, Andrea Haase
Andrea Haase,,
-
, Christian Riebeling
Christian Riebeling,,
-
, Andreas Luch
Andreas Luch,,
-
, Muhammad A. Irfan
Muhammad A. Irfan,,
-
, Robert Landsiedel
Robert Landsiedel,,
-
, Meike van der Zande
Meike van der Zande,,
-
et al.
Journal seriesNanotoxicology, ISSN 1743-5390
Issue year2018
Vol12
No1
Pages1-17
Publication size in sheets0.8
Keywords in Englishcomputational toxicology, (Q)SAR, nanomaterials, oxidative stress, grouping, categorization
DOIDOI:10.1080/17435390.2017.1415388
URL http://www.tandfonline.com/doi/pdf/10.1080/17435390.2017.1415388?needAccess=true
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa - Użycie Niekomercyjne - Bez utworów zależnych (CC-BY-NC-ND); with publication
Score (nominal)45
ScoreMinisterial score = 45.0, 26-01-2018, ArticleFromJournal
Ministerial score (2013-2016) = 45.0, 26-01-2018, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 6.428 (2) - 2016=6.327 (5)
Citation count*0
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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