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X Demographics
Mendeley readers
Attention Score in Context
Title |
Animal models of multiple system atrophy
|
---|---|
Published in |
Clinical Autonomic Research, January 2015
|
DOI | 10.1007/s10286-014-0266-6 |
Pubmed ID | |
Authors |
Nadia Stefanova, Gregor K. Wenning |
Abstract |
Since their introduction in 1996, animal models of multiple system atrophy (MSA) have generated important insights into pathogenesis and interventional therapies. Toxin and genetic approaches have been used alone or in combination to replicate progressive motor and non-motor symptoms reflecting human neuropathology. Here, we review these developments and discuss the advantages and limitations of the MSA animal models, as well as their application in preclinical target validation. |
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 States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Costa Rica | 1 | 3% |
Unknown | 36 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 16% |
Student > Master | 5 | 13% |
Student > Bachelor | 4 | 11% |
Other | 3 | 8% |
Professor > Associate Professor | 3 | 8% |
Other | 9 | 24% |
Unknown | 8 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 9 | 24% |
Biochemistry, Genetics and Molecular Biology | 8 | 21% |
Agricultural and Biological Sciences | 4 | 11% |
Medicine and Dentistry | 3 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 5 | 13% |
Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 December 2016.
All research outputs
#14,219,838
of 22,796,179 outputs
Outputs from Clinical Autonomic Research
#493
of 775 outputs
Outputs of similar age
#187,579
of 353,758 outputs
Outputs of similar age from Clinical Autonomic Research
#2
of 4 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 775 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 32nd percentile – i.e., 32% 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 353,758 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.