| Title |
Modeling Cardiovascular Risks of E-Cigarettes With Human-Induced Pluripotent Stem Cell–Derived Endothelial Cells
|
|---|---|
| Published in |
JACC, June 2019
|
| DOI | 10.1016/j.jacc.2019.03.476 |
| Pubmed ID | |
| Authors |
Won Hee Lee, Sang-Ging Ong, Yang Zhou, Lei Tian, Hye Ryeong Bae, Natalie Baker, Adam Whitlatch, Leila Mohammadi, Hongchao Guo, Kari C. Nadeau, Matthew L. Springer, Suzaynn F. Schick, Aruni Bhatnagar, Joseph C. Wu |
X Demographics
The data shown below were collected from the profiles of 261 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 | 59 | 23% |
| Saudi Arabia | 25 | 10% |
| United Kingdom | 16 | 6% |
| Australia | 8 | 3% |
| Spain | 7 | 3% |
| Canada | 7 | 3% |
| France | 4 | 2% |
| Poland | 3 | 1% |
| Netherlands | 3 | 1% |
| Other | 33 | 13% |
| Unknown | 96 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 172 | 66% |
| Scientists | 60 | 23% |
| Practitioners (doctors, other healthcare professionals) | 22 | 8% |
| Science communicators (journalists, bloggers, editors) | 7 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 25 | 17% |
| Student > Master | 19 | 13% |
| Researcher | 14 | 10% |
| Student > Ph. D. Student | 12 | 8% |
| Other | 11 | 8% |
| Other | 20 | 14% |
| Unknown | 45 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 20% |
| Biochemistry, Genetics and Molecular Biology | 19 | 13% |
| Nursing and Health Professions | 7 | 5% |
| Agricultural and Biological Sciences | 6 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Other | 27 | 18% |
| Unknown | 52 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1154. 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 22 February 2023.
All research outputs
#12,889
of 25,714,183 outputs
Outputs from JACC
#34
of 16,914 outputs
Outputs of similar age
#206
of 364,871 outputs
Outputs of similar age from JACC
#2
of 216 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.2. This one has done particularly well, scoring higher than 99% 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 364,871 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 99% of its contemporaries.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.