Counterfactual time series analysis of short-term change in air pollution following the COVID-19 state of emergency in the United States is a research paper published in Scientific Reports (2021). On theSindex it has a DataRank of 0.457. It has been cited 20 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.457
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →U.S. Environmental Protection Agency
Grant: 83587201-0
National Institutes of Health
Grant: R01ES026217
Harvard University
Grant: Climate Change Solutions Fund
National Institutes of Health
Grant: 7R01ES026217-04
Casual Inference with Interference for Evaluating Air Quality Policies
National Institutes of Health
Grant: 5R01OH002020-02
ACRYLAMIDE NEUROTOXICITY: ROLE OF OXIDATIVE METABOLISM
2020 Starr Friedman Award
FWCI
1.74
Citation Percentile
0.8%
Influential Citations
1
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations
Additional file 1 of Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations