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Adjusted R 2 for the two linear regression models applied t..:

Michele Tizzani (11890774) ; Violeta Muñoz-Gómez (11208555) ; Marco De Nardi (7364453)...
https://figshare.com/articles/dataset/Adjusted_R_sup_2_sup_for_the_two_linear_regression_models_applied_to_predict_Wikipedia_visits_/17710225. , 2021

Link: https://doi.org/10.1371/journal.pone.0252972.t002

RT Journal
T1 <Title>Adjusted R 2 for the two linear regression models applied to predict Wikipedia visits</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_17710225&Exemplar=1&LAN=DE
				
A1 Michele Tizzani (11890774)
A1 Violeta Muñoz-Gómez (11208555)
A1 Marco De Nardi (7364453)
A1 Daniela Paolotti (672356)
A1 Olga Muñoz (11890777)
A1 Piera Ceschi (11890780)
A1 Arvo Viltrop (3207144)
A1 Ilaria Capua (52823)
YR 2021
K1 Biotechnology
K1 Ecology
K1 Immunology
K1 Science Policy
K1 Infectious Diseases
K1 Biological Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 xlink "> sars
K1 infectious diseases requires
K1 awareness among front
K1 also bring evidence
K1 resulting public attention
K1 veterinary authorities remain
K1 seeking behavior respectively
K1 manage epidemic diseases
K1 field surveys aimed
K1 african swine fever
K1 novel data streams
K1 veterinary authorities
K1 seeking behavior
K1 leveraging attention
K1 based surveys
K1 digital data
K1 collected data
K1 two tools
K1 targeted questionnaire
K1 study shows
K1 right moment
K1 relevant stakeholders
K1 prevention activities
K1 population level
K1 pig farmers
K1 novel approach
K1 local workers
K1 local level
K1 line actors
K1 interested cohort
K1 integrating digital
K1 field surveillance
K1 efficient management
K1 digital platforms
K1 depth preparedness
K1 crucial tool
K1 critical moment
K1 complementary efforts
K1 clearly shown
JF https://figshare.com/articles/dataset/Adjusted_R_sup_2_sup_for_the_two_linear_regression_models_applied_to_predict_Wikipedia_visits_/17710225
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0252972.t002
DO https://doi.org/10.1371/journal.pone.0252972.t002
SF ELIB - SuUB Bremen

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