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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sex gap in aging and longevity: can sex chromosomes play a role?
|
|---|---|
| Published in |
Biology of Sex Differences, July 2018
|
| DOI | 10.1186/s13293-018-0181-y |
| Pubmed ID | |
| Authors |
Gabriel A.B. Marais, Jean-Michel Gaillard, Cristina Vieira, Ingrid Plotton, Damien Sanlaville, François Gueyffier, Jean-Francois Lemaitre |
| Abstract |
It is well known that women live longer than men. This gap is observed in most human populations and can even reach 10-15 years. In addition, most of the known super centenarians (i.e., humans who lived for > 110 years) are women. The differences in life expectancy between men and women are often attributed to cultural differences in common thinking. However, sex hormones seem to influence differences in the prevalence of diseases, in the magnitude of aging, and in the longevity between men and women. Moreover, far from being human specific, the sex gap in longevity is extremely common in non-human animals, especially in mammals. Biological factors clearly contribute to such a sex gap in aging and longevity. Different hypotheses have been proposed to explain why males and females age and die differently. The cost of sexual selection and sexual dimorphism has long been considered the best explanation for the observed sex gap in aging/longevity. However, the way mitochondria are transmitted (i.e., through females in most species) could have an effect, called the mother's curse. Recent data suggest that sex chromosomes may also contribute to the sex gap in aging/longevity through several potential mechanisms, including the unguarded X/Z, the toxic Y/W and the loss of Y/W. We discuss future research directions to test these ideas. |
X Demographics
The data shown below were collected from the profiles of 26 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 | 3 | 12% |
| United States | 2 | 8% |
| Brazil | 2 | 8% |
| Italy | 2 | 8% |
| Spain | 1 | 4% |
| Canada | 1 | 4% |
| United Kingdom | 1 | 4% |
| New Zealand | 1 | 4% |
| Unknown | 13 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 81% |
| Scientists | 5 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 15% |
| Researcher | 16 | 11% |
| Student > Bachelor | 16 | 11% |
| Student > Master | 14 | 10% |
| Student > Doctoral Student | 7 | 5% |
| Other | 23 | 16% |
| Unknown | 47 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 18% |
| Agricultural and Biological Sciences | 24 | 17% |
| Medicine and Dentistry | 15 | 10% |
| Unspecified | 7 | 5% |
| Psychology | 4 | 3% |
| Other | 14 | 10% |
| Unknown | 55 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 574. 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 06 May 2023.
All research outputs
#42,067
of 25,850,376 outputs
Outputs from Biology of Sex Differences
#3
of 603 outputs
Outputs of similar age
#800
of 324,188 outputs
Outputs of similar age from Biology of Sex Differences
#1
of 19 outputs
Altmetric has tracked 25,850,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 603 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one has done particularly well, scoring higher than 99% of its peers.
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 324,188 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.