Big data in predictive toxicology

ALL libraries (COBIB.SI union bibliographic/catalogue database)

Big data in predictive toxicology

Type of material - scientific monograph ; adult, serious

Publication and manufacture - London : Royal Society of Chemistry, cop. 2020

Language - english

ISBN - 978-1-78262-298-7; 978-1-78262-365-6; 978-1-83916-082-0

COBISS.SI-ID - 40388101

Keep searching

Other authors
Neagu, Daniel | Richarz, Andrea-Nicole

Collection
Issues in toxicology

Component parts from the selected journal

Availability in libraries

Library/institution	City	Acronym	For loan	Other holdings
Central Technological Library of the University of Ljubljana	Ljubljana	CTK	outside loan 1 cop.
National and University Library, Ljubljana	Ljubljana	NUK	outside loan 1 cop.

Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.

Year	Impact factor		Edition		Category		Classification
Year	JCR	SNIP	JCR	SNIP	JCR	SNIP	JCR	SNIP

Links to authors' personal bibliographies	Links to information on researchers in the SICRIS system
Neagu, Daniel
Richarz, Andrea-Nicole

Source: Personal bibliographies and: SICRIS

The material from the parent unit is free. If the material is delivered to the pickup location from another unit, the library may charge you for this service.

Pickup location	Material status	Reservation

Upload image

Shelf entry

Adding material to shelf was successful.

Adding material to shelf failed.

It was not necessary to add the material to the shelf.

Permalink

E-mail

Impact factor

Select the library membership card:

DRS, in which the journal is indexed

Select pickup location:

Material pickup by post

Notification

Citations

Subject headings in COBISS General List of Subject Headings

Select pickup location

Reservation was successful.

Reservation failed.

Reservation...

Bibliographic data

Number of loans

Loan was successful

Loan failed

Loan was successful

Loan failed

Loan was successful

Loan failed

Loan was successful

Loan failed

Theme