I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Web search activity data accurately predict population chro..:
Nguyen, Thin
;
Tran, Truyen
;
Luo, Wei
...
Journal of Epidemiology and Community Health. 69 (2015) 7 - p. 693-699 , 2015
Link:
https://doi.org/10.1136/jech-2014-204523
RT Journal T1 <Title>Web search activity data accurately predict population chronic disease risk in the USA</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1136_jech-2014-204523&Exemplar=1&LAN=DE A1 Nguyen, Thin A1 Tran, Truyen A1 Luo, Wei A1 Gupta, Sunil A1 Rana, Santu A1 Phung, Dinh A1 Nichols, Melanie A1 Millar, Lynne A1 Venkatesh, Svetha A1 Allender, Steve PB BMJ YR 2015 SN 0143-005X SN 1470-2738 JF Journal of Epidemiology and Community Health VO 69 IS 7 SP 693 OP 699 LK http://dx.doi.org/https://doi.org/10.1136/jech-2014-204523 DO https://doi.org/10.1136/jech-2014-204523 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
