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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fasting remnant lipoproteins can predict postprandial hyperlipidemia
|
|---|---|
| Published in |
Lipids in Health and Disease, October 2012
|
| DOI | 10.1186/1476-511x-11-146 |
| Pubmed ID | |
| Authors |
Tomoki Nagata, Daisuke Sugiyama, Takako Kise, Satomi Tsuji, Hideo Ohira, Itsuko Sato, Mari Yamamoto, Hitomi Kohsaka, Seiji Kawano, Shizuya Yamashita, Yuichi Ishikawa, Yoshio Fujioka |
| Abstract |
Hypertriglyceridemia and postprandial hyperlipidemia is thought to play an important role in atherosclerosis, but to select patients at high-risk for cardiovascular diseases is difficult with triglycerides (TG) alone in these patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 22 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 33% |
| Student > Postgraduate | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 25% |
| Agricultural and Biological Sciences | 6 | 25% |
| Nursing and Health Professions | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 November 2012.
All research outputs
#15,255,201
of 22,684,168 outputs
Outputs from Lipids in Health and Disease
#793
of 1,437 outputs
Outputs of similar age
#116,284
of 184,188 outputs
Outputs of similar age from Lipids in Health and Disease
#23
of 33 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 184,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.