You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modelling approach to simulate reductions in LDL cholesterol levels after combined intake of statins and phytosterols/-stanols in humans
|
|---|---|
| Published in |
Lipids in Health and Disease, October 2011
|
| DOI | 10.1186/1476-511x-10-187 |
| Pubmed ID | |
| Authors |
Simone RBM Eussen, Cathy JM Rompelberg, Olaf H Klungel, Jan CH van Eijkeren |
| Abstract |
To examine the effects on LDL cholesterol of the combined use of statins and phytosterols/-stanols, in vivo studies and clinical trials are necessary. However, for a better interpretation of the experimental data as well as to possibly predict cholesterol levels given a certain dosing regimen of statins and phytosterols/-stanols a more theoretically based approach is helpful. This study aims to construct a mathematical model to simulate reductions in low-density lipoprotein (LDL) cholesterol in persons who combine the use of statins with a high intake of phytosterols/-stanols, e.g. by the use of functional foods. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 19% |
| Student > Bachelor | 4 | 13% |
| Other | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Other | 4 | 13% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 23% |
| Agricultural and Biological Sciences | 6 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 13% |
| Engineering | 4 | 13% |
| Computer Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 7 | 23% |
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 22 October 2011.
All research outputs
#15,237,301
of 22,655,397 outputs
Outputs from Lipids in Health and Disease
#791
of 1,434 outputs
Outputs of similar age
#95,744
of 139,967 outputs
Outputs of similar age from Lipids in Health and Disease
#14
of 21 outputs
Altmetric has tracked 22,655,397 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 1,434 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 139,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.