Layperson reversal of opioid overdose supported by smartphone alert: A prospective observational cohort study is a research paper published in EClinicalMedicine (2020). On theSindex it has a DataRank of 2.3. It has been cited 48 times, with 35 citing works in its 1-hop citation network.
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Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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Base Score Contribution
0.584
From this paper's citation signal
Citation Network Contribution
1.7
From 26 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 35 citers.
National Institute on Drug Abuse
Grant: 5R34DA044758
NIDA NIH HHS
Grant: R34 DA044758
National Institutes of Health
Grant: 5R34DA044758-03
Piloting a naloxone intervention in an emergency response community to reduce opioid overdoses in Philadelphia
National Institutes of Health
FWCI
5.45
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia
Additional file 1 of Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia
Additional file 2 of Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut’s Good Samaritan Laws and identify effective policy options
Additional file 2 of Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut’s Good Samaritan Laws and identify effective policy options
Additional file 1 of Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut’s Good Samaritan Laws and identify effective policy options
Additional file 1 of Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut’s Good Samaritan Laws and identify effective policy options