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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Elektronički dodaci [doktorska disertacija]

Authors: Mario Lovrić;

Elektronički dodaci [doktorska disertacija]

Abstract

{"references": ["https://comptox.epa.gov/dashboard", "Malev, O., Lovri\u0107, M., Stipani\u010dev, D., Repec, S., Martinovi\u0107-Weigelt, D., Zanella, D., Ivankovi\u0107, T., \u0110uretec, V.S., Bari\u0161i\u0107, J., Li, M., Klobu\u010dar, G., 2020. Toxicity prediction and effect characterization of 90 pharmaceuticals and illicit drugs measured in plasma of fish from a major European river (Sava, Croatia). Environ. Pollut. 115162. https://doi.org/10.1016/j.envpol.2020.115162", "Babi\u0107, S., Bari\u0161i\u0107, J., Stipani\u010dev, D., Repec, S., Lovri\u0107, M., Malev, O., Martinovi\u0107-Weigelt, D., \u010co\u017e-Rakovac, R., Klobu\u010dar, G., 2018. Assessment of river sediment toxicity: Combining empirical zebrafish embryotoxicity testing with in silico toxicity characterization. Sci. Total Environ. 643, 435\u2013450. https://doi.org/10.1016/j.scitotenv.2018.06.124", "Lovri\u0107, M., Malev, O., Klobu\u010dar, G., Kern, R., Liu, J.J., Lu\u010di\u0107, B., 2021. Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem. Molecules 26, 1617. https://doi.org/10.3390/molecules26061617"]}

11 Tablica koje prate doktorsku disertaciju naslova: Naslov: RAZVOJ I PRIMJENA MODELA ZA PROCJENU EKOTOKSIKOLOŠKOG RIZIKA BIOAKTIVNIH KEMIJSKIH SPOJEVA Autor: Mario Lovrić Sve potrebne informacije, detalji i reference vezane za ovaj skup podataka mogu se preuzeti u disertaciji. E1 - Pročišćeni podaci skupa ToxCast za modeliranje (toksični učinci) E2 - Tablica s kvantificiranim kemijskih spojeva iz rijeke Save (plazma, sediment, voda) E3 - Skup SMILES zapisa iz skupa ToxCast (.smiles) E4 - Datoteka za standardizaciju struktura (.xml) E5 - Deskriptori i molekulski otisci za skup ToxCast E6 - Izračunate TU za skup Sava (sediment i voda) E7 - Rezultati svih ToxCast i Tox21 modela E8 - Tablica premutacijskih važnosti za FinTC modele E9 - Predviđanja Fin21 i FinTC modela na skupu Sava kao binarne vrijednosti i vjerojatnosti

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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