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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epigenetic modifications of caveolae associated proteins in health and disease
|
|---|---|
| Published in |
BMC Genomic Data, June 2015
|
| DOI | 10.1186/s12863-015-0231-y |
| Pubmed ID | |
| Authors |
Jin-Yih Low, Helen D. Nicholson |
| Abstract |
Caveolae are small, "omega-shaped" invaginations at the plasma membrane of the cell which are involved in a variety of processes including cholesterol transport, potocytosis and cell signalling. Within caveolae there are caveolae-associated proteins, and changes in expression of these molecules have been described to play a role in the pathophysiology of various diseases including cancer and cardiovascular disease. Evidence is beginning to accumulate that epigenetic processes may regulate the expression of these caveolae related genes, and hence contribute to disease progression. Here, we summarize the current knowledge of the role of epigenetic modification in regulating the expression of these caveolae related genes and how this relates to changes in cellular physiology and in health and disease. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 28% |
| Student > Bachelor | 3 | 10% |
| Other | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 7 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 24% |
| Agricultural and Biological Sciences | 4 | 14% |
| Medicine and Dentistry | 2 | 7% |
| Unspecified | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 12 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 March 2016.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from BMC Genomic Data
#606
of 1,204 outputs
Outputs of similar age
#156,204
of 278,169 outputs
Outputs of similar age from BMC Genomic Data
#24
of 44 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 45th percentile – i.e., 45% 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 278,169 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.