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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptional network analysis of human astrocytic endfoot genes reveals region-specific associations with dementia status and tau pathology
|
|---|---|
| Published in |
Scientific Reports, August 2018
|
| DOI | 10.1038/s41598-018-30779-x |
| Pubmed ID | |
| Authors |
Matthew J. Simon, Marie X. Wang, Charles F. Murchison, Natalie E. Roese, Erin L. Boespflug, Randall L. Woltjer, Jeffrey J. Iliff |
| Abstract |
The deposition of misfolded proteins, including amyloid beta plaques and neurofibrillary tangles is the histopathological hallmark of Alzheimer's disease (AD). The glymphatic system, a brain-wide network of perivascular pathways that supports interstitial solute clearance, is dependent upon expression of the perivascular astroglial water channel aquaporin-4 (AQP4). Impairment of glymphatic function in the aging rodent brain is associated with reduced perivascular AQP4 localization, and in human subjects, reduced perivascular AQP4 localization is associated with AD diagnosis and pathology. Using human transcriptomic data, we demonstrate that expression of perivascular astroglial gene products dystroglycan (DAG1), dystrobrevin (DTNA) and alpha-syntrophin (SNTA1), are associated with dementia status and phosphorylated tau (P-tau) levels in temporal cortex. Gene correlation analysis reveals altered expression of a cluster of potential astrocytic endfoot components in human subjects with dementia, with increased expression associated with temporal cortical P-tau levels. The association between perivascular astroglial gene products, including DTNA and megalencephalic leukoencephalopathy with subcortical cysts 1 (MLC1) with AD status was confirmed in a second human transcriptomic dataset and in human autopsy tissue by Western blot. This suggests changes in the astroglial endfoot domain may underlie vulnerability to protein aggregation in AD. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 19% |
| Student > Bachelor | 16 | 17% |
| Researcher | 8 | 8% |
| Student > Master | 6 | 6% |
| Other | 5 | 5% |
| Other | 8 | 8% |
| Unknown | 35 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 27 | 28% |
| Biochemistry, Genetics and Molecular Biology | 9 | 9% |
| Medicine and Dentistry | 9 | 9% |
| Agricultural and Biological Sciences | 8 | 8% |
| Engineering | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 39 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 September 2021.
All research outputs
#2,865,892
of 23,100,534 outputs
Outputs from Scientific Reports
#24,525
of 124,866 outputs
Outputs of similar age
#59,809
of 333,251 outputs
Outputs of similar age from Scientific Reports
#751
of 3,621 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 124,866 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 80% 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 333,251 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 81% of its contemporaries.
We're also able to compare this research output to 3,621 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.