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Mendeley readers
Attention Score in Context
| Title |
Sex differences in the genome-wide DNA methylation pattern and impact on gene expression, microRNA levels and insulin secretion in human pancreatic islets
|
|---|---|
| Published in |
Genome Biology, December 2014
|
| DOI | 10.1186/s13059-014-0522-z |
| Pubmed ID | |
| Authors |
Elin Hall, Petr Volkov, Tasnim Dayeh, Jonathan Lou S Esguerra, Sofia Salö, Lena Eliasson, Tina Rönn, Karl Bacos, Charlotte Ling |
| Abstract |
Epigenetic factors regulate tissue-specific expression and X-chromosome inactivation. Previous studies have identified epigenetic differences between sexes in some human tissues. However, it is unclear whether epigenetic modifications contribute to sex-specific differences in insulin secretion and metabolism. Here, we investigate the impact of sex on the genome-wide DNA methylation pattern in human pancreatic islets from 53 males and 34 females, and relate the methylome to changes in expression and insulin secretion. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| France | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 153 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 27% |
| Researcher | 32 | 21% |
| Student > Bachelor | 13 | 8% |
| Student > Master | 13 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 13 | 8% |
| Unknown | 34 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 49 | 32% |
| Agricultural and Biological Sciences | 38 | 25% |
| Medicine and Dentistry | 12 | 8% |
| Computer Science | 5 | 3% |
| Neuroscience | 3 | 2% |
| Other | 7 | 5% |
| Unknown | 40 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 19 April 2022.
All research outputs
#6,275,484
of 25,371,288 outputs
Outputs from Genome Biology
#3,019
of 4,467 outputs
Outputs of similar age
#78,496
of 368,274 outputs
Outputs of similar age from Genome Biology
#74
of 101 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% 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 368,274 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.