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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gender Differences in Adipocyte Metabolism and Liver Cancer Progression
|
|---|---|
| Published in |
Frontiers in Genetics, September 2016
|
| DOI | 10.3389/fgene.2016.00168 |
| Pubmed ID | |
| Authors |
Otto K.-W. Cheung, Alfred S.-L. Cheng |
| Abstract |
Liver cancer is the third most common cancer type and the second leading cause of deaths in men. Large population studies have demonstrated remarkable gender disparities in the incidence and the cumulative risk of liver cancer. A number of emerging risk factors regarding metabolic alterations associated with obesity, diabetes and dyslipidemia have been ascribed to the progression of non-alcoholic fatty liver diseases (NAFLD) and ultimately liver cancer. The deregulation of fat metabolism derived from excessive insulin, glucose, and lipid promotes cancer-causing inflammatory signaling and oxidative stress, which eventually triggers the uncontrolled hepatocellular proliferation. This review presents the current standing on the gender differences in body fat compositions and their mechanistic linkage with the development of NAFLD-related liver cancer, with an emphasis on genetic, epigenetic and microRNA control. The potential roles of sex hormones in instructing adipocyte metabolic programs may help unravel the mechanisms underlying gender dimorphism in liver cancer and identify the metabolic targets for disease management. |
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 % |
|---|---|---|
| Switzerland | 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 15% |
| Student > Bachelor | 12 | 15% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Master | 7 | 9% |
| Student > Doctoral Student | 6 | 8% |
| Other | 12 | 15% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 24% |
| Agricultural and Biological Sciences | 11 | 14% |
| Medicine and Dentistry | 7 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Psychology | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 24 | 31% |
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 20 September 2016.
All research outputs
#18,472,072
of 22,889,074 outputs
Outputs from Frontiers in Genetics
#7,074
of 11,930 outputs
Outputs of similar age
#243,108
of 320,232 outputs
Outputs of similar age from Frontiers in Genetics
#37
of 49 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,930 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% 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 320,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.