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X Demographics
Mendeley readers
Attention Score in Context
Title |
Genes and pathways underlying regional and cell type changes in Alzheimer's disease
|
---|---|
Published in |
Genome Medicine, May 2013
|
DOI | 10.1186/gm452 |
Pubmed ID | |
Authors |
Jeremy A Miller, Randall L Woltjer, Jeff M Goodenbour, Steve Horvath, Daniel H Geschwind |
Abstract |
Transcriptional studies suggest Alzheimer's disease (AD) involves dysfunction of many cellular pathways, including synaptic transmission, cytoskeletal dynamics, energetics, and apoptosis. Despite known progression of AD pathologies, it is unclear how such striking regional vulnerability occurs, or which genes play causative roles in disease progression. |
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 | 2 | 67% |
United Kingdom | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Netherlands | 1 | <1% |
Germany | 1 | <1% |
United Kingdom | 1 | <1% |
Israel | 1 | <1% |
Unknown | 252 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 58 | 22% |
Researcher | 47 | 18% |
Student > Master | 33 | 13% |
Student > Bachelor | 25 | 10% |
Professor | 15 | 6% |
Other | 45 | 17% |
Unknown | 37 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 72 | 28% |
Neuroscience | 40 | 15% |
Biochemistry, Genetics and Molecular Biology | 39 | 15% |
Medicine and Dentistry | 23 | 9% |
Computer Science | 11 | 4% |
Other | 29 | 11% |
Unknown | 46 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 07 June 2018.
All research outputs
#1,768,314
of 25,394,764 outputs
Outputs from Genome Medicine
#392
of 1,587 outputs
Outputs of similar age
#14,536
of 207,741 outputs
Outputs of similar age from Genome Medicine
#6
of 27 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done well, scoring higher than 75% 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 207,741 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 93% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.