↓ Skip to main content

Diseases and aging: Gender matters

Overview of attention for article published in Biochemistry, December 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
29 Mendeley
Title
Diseases and aging: Gender matters
Published in
Biochemistry, December 2015
DOI 10.1134/s0006297915120032
Pubmed ID
Authors

V. A. Popkov, E. Yu. Plotnikov, D. N. Silachev, L. D. Zorova, I. B. Pevzner, S. S. Jankauskas, S. D. Zorov, V. A. Babenko, D. B. Zorov

Abstract

At first glance, biological differences between male and female sex seem obvious, but, in fact, they affect a vast number of deeper levels apart from reproductive function and related physiological features. Such differences affect all organizational levels including features of cell physiology and even functioning of separate organelles, which, among other things, account for such global processes as resistance to diseases and aging. Understanding of mechanisms underlying resistance of one of the sexes to pathological processes and aging will allow taking into consideration gender differences while developing drugs and therapeutic approaches, and it will provide an opportunity to reproduce and enhance such resistance in the more vulnerable gender. Here we review physiological as well as cellular and biological features of disease course including aging that are affected by gender and discuss potential mechanisms behind these processes. Such mechanisms include features of oxidative metabolism and mitochondrial functioning.

X Demographics

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.
Mendeley readers

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 %
Portugal 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Researcher 6 21%
Other 2 7%
Student > Master 2 7%
Student > Bachelor 1 3%
Other 3 10%
Unknown 8 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 21%
Medicine and Dentistry 4 14%
Biochemistry, Genetics and Molecular Biology 3 10%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Other 2 7%
Unknown 12 41%
Attention Score in Context

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 08 December 2015.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Biochemistry
#21,450
of 22,289 outputs
Outputs of similar age
#337,492
of 394,856 outputs
Outputs of similar age from Biochemistry
#129
of 141 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,289 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 394,856 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.