| Title |
Olive oil in the prevention and treatment of osteoporosis after artificial menopause
|
|---|---|
| Published in |
Clinical Interventions in Aging, December 2014
|
| DOI | 10.2147/cia.s72006 |
| Pubmed ID | |
| Authors |
Huilan Liu, Huijuan Huang, Boheng Li, Dong Wu, Fengmei Wang, Xiao hua Zheng, Qingxia Chen, Bifang Wu, Xiaojie Fan |
| Abstract |
The goal of this study was to investigate the anti-osteoporosis effect of extra virgin olive oil (EVOO) in vivo, and explore its antioxidant, anti-inflammatory properties in Sprague Dawley rats and its anticancer properties in patients. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Pakistan | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 24% |
| Student > Master | 7 | 12% |
| Researcher | 6 | 10% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 22% |
| Agricultural and Biological Sciences | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Nursing and Health Professions | 5 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 16 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 January 2015.
All research outputs
#15,065,296
of 25,374,647 outputs
Outputs from Clinical Interventions in Aging
#1,003
of 1,968 outputs
Outputs of similar age
#191,124
of 369,146 outputs
Outputs of similar age from Clinical Interventions in Aging
#34
of 46 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 48th percentile – i.e., 48% 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 369,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.