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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dopamine Induced Neurodegeneration in a PINK1 Model of Parkinson's Disease
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0037564 |
| Pubmed ID | |
| Authors |
Sonia Gandhi, Annika Vaarmann, Zhi Yao, Michael R. Duchen, Nicholas W. Wood, Andrey Y. Abramov |
| Abstract |
Parkinson's disease is a common neurodegenerative disease characterised by progressive loss of dopaminergic neurons, leading to dopamine depletion in the striatum. Mutations in the PINK1 gene cause an autosomal recessive form of Parkinson's disease. Loss of PINK1 function causes mitochondrial dysfunction, increased reactive oxygen species production and calcium dysregulation, which increases susceptibility to neuronal death in Parkinson's disease. The basis of neuronal vulnerability to dopamine in Parkinson's disease is not well understood. |
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 % |
|---|---|---|
| Unknown | 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United Kingdom | 2 | 2% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| India | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 103 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 26% |
| Student > Bachelor | 16 | 14% |
| Researcher | 15 | 14% |
| Student > Master | 11 | 10% |
| Professor | 6 | 5% |
| Other | 20 | 18% |
| Unknown | 14 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 33% |
| Neuroscience | 18 | 16% |
| Biochemistry, Genetics and Molecular Biology | 13 | 12% |
| Engineering | 9 | 8% |
| Medicine and Dentistry | 9 | 8% |
| Other | 9 | 8% |
| Unknown | 16 | 14% |
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 December 2020.
All research outputs
#6,912,452
of 22,668,244 outputs
Outputs from PLOS ONE
#81,356
of 193,511 outputs
Outputs of similar age
#49,198
of 164,788 outputs
Outputs of similar age from PLOS ONE
#1,296
of 3,777 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 193,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 56% 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 164,788 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 68% of its contemporaries.
We're also able to compare this research output to 3,777 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.