Title |
Differential Taxes for Differential Risks — Toward Reduced Harm from Nicotine-Yielding Products
|
---|---|
Published in |
New England Journal of Medicine, August 2015
|
DOI | 10.1056/nejmp1505710 |
Pubmed ID | |
Authors |
Frank J. Chaloupka, David Sweanor, Kenneth E. Warner |
Abstract |
In the face of a rapidly evolving nicotine-product marketplace, policymakers could consider differentially taxing these products to maximize incentives for tobacco users to switch from the most harmful products to the least harmful ones. |
X Demographics
The data shown below were collected from the profiles of 112 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 27 | 24% |
United Kingdom | 9 | 8% |
Canada | 8 | 7% |
Chile | 3 | 3% |
Brazil | 2 | 2% |
Netherlands | 2 | 2% |
Australia | 2 | 2% |
Switzerland | 2 | 2% |
Sweden | 2 | 2% |
Other | 8 | 7% |
Unknown | 47 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 81 | 72% |
Scientists | 15 | 13% |
Practitioners (doctors, other healthcare professionals) | 12 | 11% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Canada | 1 | 2% |
Unknown | 50 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 21% |
Student > Bachelor | 9 | 17% |
Student > Master | 7 | 13% |
Professor | 5 | 10% |
Other | 3 | 6% |
Other | 5 | 10% |
Unknown | 12 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 19% |
Social Sciences | 9 | 17% |
Environmental Science | 4 | 8% |
Economics, Econometrics and Finance | 2 | 4% |
Psychology | 2 | 4% |
Other | 10 | 19% |
Unknown | 15 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 93. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 January 2023.
All research outputs
#459,546
of 25,446,666 outputs
Outputs from New England Journal of Medicine
#6,325
of 32,510 outputs
Outputs of similar age
#5,359
of 276,326 outputs
Outputs of similar age from New England Journal of Medicine
#80
of 350 outputs
Altmetric has tracked 25,446,666 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 122.2. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 276,326 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 350 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.