Social-distancing fatigue: Evidence from real-time crowd-sourced traffic data is a research paper published in The Science of The Total Environment (2021). On theSindex it has a DataRank of 0.515. It has been cited 30 times.
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Base Score Contribution
0.515
From this paper's citation signal
Citation Network Contribution
0
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This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: 2029421
RAPID: Transmission and Immunology of COVID-19 in the Pandemic and Post-Pandemic Phase: Real-time Assessment of Social Distancing & Protective Immunity
National Institutes of Health Office of the Director
Grant: DP5OD023100
National Institute of Environmental Health Sciences
Grant: 2T32ES007322-19
Advanced training in environmental health and data science: molecules to populations
NIEHS NIH HHS
Grant: P30 ES009089
NIEHS NIH HHS
Grant: F31 ES033098
NIEHS NIH HHS
Grant: T32 ES007322
NIEHS NIH HHS
Grant: R21 ES030093
National Institutes of Health
Grant: 1DP5OD023100-01
HACKING EPIDEMICS: UNLOCKING THE DRIVERS OF TRANSMISSION SEASONALITYTO BATTLE VACCINE-PREVENTABLE DISEASES
National Institutes of Health
Grant: 3R21ES030093-02S1
Crowd-Sourced Traffic Data: Predicting Air Pollution & Ischemic Stroke
National Institutes of Health
Grant: 5P30ES009089-06
Center for Environmental Health in Northern Manhattan
National Institutes of Health
Office of the Director
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals