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Attention Score in Context
| Title |
Stress amplifies sex differences in primate prefrontal profiles of gene expression
|
|---|---|
| Published in |
Biology of Sex Differences, November 2017
|
| DOI | 10.1186/s13293-017-0157-3 |
| Pubmed ID | |
| Authors |
Alex G. Lee, Megan Hagenauer, Devin Absher, Kathleen E. Morrison, Tracy L. Bale, Richard M. Myers, Stanley J. Watson, Huda Akil, Alan F. Schatzberg, David M. Lyons |
| Abstract |
Stress is a recognized risk factor for mood and anxiety disorders that occur more often in women than men. Prefrontal brain regions mediate stress coping, cognitive control, and emotion. Here, we investigate sex differences and stress effects on prefrontal cortical profiles of gene expression in squirrel monkey adults. Dorsolateral, ventrolateral, and ventromedial prefrontal cortical regions from 18 females and 12 males were collected after stress or no-stress treatment conditions. Gene expression profiles were acquired using HumanHT-12v4.0 Expression BeadChip arrays adapted for squirrel monkeys. Extensive variation between prefrontal cortical regions was discerned in the expression of numerous autosomal and sex chromosome genes. Robust sex differences were also identified across prefrontal cortical regions in the expression of mostly autosomal genes. Genes with increased expression in females compared to males were overrepresented in mitogen-activated protein kinase and neurotrophin signaling pathways. Many fewer genes with increased expression in males compared to females were discerned, and no molecular pathways were identified. Effect sizes for sex differences were greater in stress compared to no-stress conditions for ventromedial and ventrolateral prefrontal cortical regions but not dorsolateral prefrontal cortex. Stress amplifies sex differences in gene expression profiles for prefrontal cortical regions involved in stress coping and emotion regulation. Results suggest molecular targets for new treatments of stress disorders in human mental health. |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Student > Master | 6 | 15% |
| Researcher | 4 | 10% |
| Professor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 20% |
| Agricultural and Biological Sciences | 7 | 17% |
| Neuroscience | 7 | 17% |
| Decision Sciences | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 15 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 November 2018.
All research outputs
#8,381,240
of 25,692,343 outputs
Outputs from Biology of Sex Differences
#305
of 595 outputs
Outputs of similar age
#127,728
of 341,894 outputs
Outputs of similar age from Biology of Sex Differences
#4
of 7 outputs
Altmetric has tracked 25,692,343 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 595 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one is in the 48th percentile – i.e., 48% 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 341,894 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.