| Title |
Cardiovascular Benefits of Fish-Oil Supplementation Against Fine Particulate Air Pollution in China
|
|---|---|
| Published in |
JACC, April 2019
|
| DOI | 10.1016/j.jacc.2018.12.093 |
| Pubmed ID | |
| Authors |
Zhijing Lin, Renjie Chen, Yixuan Jiang, Yongjie Xia, Yue Niu, Cuiping Wang, Cong Liu, Chen Chen, Yihui Ge, Weidong Wang, Guanjin Yin, Jing Cai, Viviane Clement, Xiaohui Xu, Bo Chen, Honglei Chen, Haidong Kan |
X Demographics
The data shown below were collected from the profiles of 64 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 | 13 | 20% |
| Norway | 5 | 8% |
| Canada | 4 | 6% |
| United Kingdom | 2 | 3% |
| Mongolia | 2 | 3% |
| Australia | 1 | 2% |
| Guam | 1 | 2% |
| Serbia | 1 | 2% |
| New Zealand | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 32 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 53 | 83% |
| Practitioners (doctors, other healthcare professionals) | 5 | 8% |
| Scientists | 4 | 6% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 157 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 10% |
| Researcher | 14 | 9% |
| Student > Master | 12 | 8% |
| Student > Ph. D. Student | 8 | 5% |
| Other | 7 | 4% |
| Other | 36 | 23% |
| Unknown | 65 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 14% |
| Nursing and Health Professions | 16 | 10% |
| Agricultural and Biological Sciences | 7 | 4% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Unspecified | 5 | 3% |
| Other | 28 | 18% |
| Unknown | 73 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 91. 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 08 August 2023.
All research outputs
#466,157
of 25,385,509 outputs
Outputs from JACC
#1,160
of 16,743 outputs
Outputs of similar age
#10,550
of 364,372 outputs
Outputs of similar age from JACC
#42
of 398 outputs
Altmetric has tracked 25,385,509 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 16,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done particularly well, scoring higher than 93% 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 364,372 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 97% of its contemporaries.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.