How online crowds influence the way individual consumers answer health questions: an online prospective study

about

Tweet content related to sexually transmitted diseases: no joking matter.Identifying Measures Used for Assessing Quality of YouTube Videos with Patient Health Information: A Review of Current Literature.

P2860

Q34411878-9E855BB1-4A06-4791-AED8-5B922B04E89B Q36771464-0F66D40F-A47F-43B5-98DD-BC2E18D8C380

P2860

How online crowds influence the way individual consumers answer health questions: an online prospective study

Item

http://www.wikidata.org/entity/Q28708873

description

2011 nî lūn-bûn

@nan

2011 թուականին հրատարակուած գիտական յօդուած

@hyw

2011 թվականին հրատարակված գիտական հոդված

@hy

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

name

How online crowds influence th ...... s: an online prospective study

@ast

How online crowds influence th ...... s: an online prospective study

@en

How online crowds influence th ...... s: an online prospective study

@nl

type

Item

label

How online crowds influence th ...... s: an online prospective study

@ast

How online crowds influence th ...... s: an online prospective study

@en

How online crowds influence th ...... s: an online prospective study

@nl

prefLabel

How online crowds influence th ...... s: an online prospective study

@ast

How online crowds influence th ...... s: an online prospective study

@en

How online crowds influence th ...... s: an online prospective study

@nl

P1476

How online crowds influence th ...... s: an online prospective study

@en

P2093

T M Y Kwok

http://www.w3.org/2001/XMLSchema#string

P2860

Internet encyclopaedias go head to head

Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study

Medicine 2.0: social networking, collaboration, participation, apomediation, and openness

Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet

Detecting influenza epidemics using search engine query data

Britannica attacks

Impact of web searching and social feedback on consumer decision making: a prospective online experiment

Protocol for the Quick Clinical study: a randomised controlled trial to assess the impact of an online evidence retrieval system on decision-making in general practice

Do online information retrieval systems help experienced clinicians answer clinical questions?

Experiences of women with breast cancer: exchanging social support over the CHESS computer network.

P304

177-189

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.4338/ACI-2011-01-RA-0006

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Enrico W. Coiera

Annie Lau

P577

2011-06-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

23616869

http://www.w3.org/2001/XMLSchema#string

P932

3631918

http://www.w3.org/2001/XMLSchema#string

How online crowds influence the way individual consumers answer health questions: an online prospective study

about

P2860

P2860

How online crowds influence the way individual consumers answer health questions: an online prospective study

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932