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Mendeley readers
Attention Score in Context
| Title |
A mathematical model of aging-related and cortisol induced hippocampal dysfunction
|
|---|---|
| Published in |
BMC Neuroscience, March 2009
|
| DOI | 10.1186/1471-2202-10-26 |
| Pubmed ID | |
| Authors |
Mark T McAuley, Rose Anne Kenny, Thomas BL Kirkwood, Darren J Wilkinson, Janette JL Jones, Veronica M Miller |
| Abstract |
The hippocampus is essential for declarative memory synthesis and is a core pathological substrate for Alzheimer's disease (AD), the most common aging-related dementing disease. Acute increases in plasma cortisol are associated with transient hippocampal inhibition and retrograde amnesia, while chronic cortisol elevation is associated with hippocampal atrophy. Thus, cortisol levels could be monitored and managed in older people, to decrease their risk of AD type hippocampal dysfunction. We generated an in silicomodel of the chronic effects of elevated plasma cortisol on hippocampal activity and atrophy, using the systems biology mark-up language (SBML). We further challenged the model with biologically based interventions to ascertain if cortisol associated hippocampal dysfunction could be abrogated. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Brazil | 2 | 2% |
| Germany | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 109 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 22 | 19% |
| Researcher | 21 | 18% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Master | 16 | 14% |
| Other | 5 | 4% |
| Other | 20 | 17% |
| Unknown | 15 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 17% |
| Agricultural and Biological Sciences | 16 | 14% |
| Psychology | 13 | 11% |
| Neuroscience | 12 | 10% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Other | 26 | 23% |
| Unknown | 20 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 21 May 2023.
All research outputs
#2,512,661
of 23,804,762 outputs
Outputs from BMC Neuroscience
#79
of 1,263 outputs
Outputs of similar age
#8,012
of 95,342 outputs
Outputs of similar age from BMC Neuroscience
#2
of 12 outputs
Altmetric has tracked 23,804,762 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,263 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 93% 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 95,342 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 91% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.