| Title |
LRRK2 G2019S Mutation Inhibits Degradation of α-Synuclein in an In Vitro Model of Parkinson’s Disease
|
|---|---|
| Published in |
Current Medical Science, December 2018
|
| DOI | 10.1007/s11596-018-1977-z |
| Pubmed ID | |
| Authors |
Dan Hu, Jian-yi Niu, Jing Xiong, Shu-ke Nie, Fei Zeng, Zhao-hui Zhang |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 18% |
| Researcher | 4 | 12% |
| Student > Master | 3 | 9% |
| Other | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 13 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 30% |
| Neuroscience | 4 | 12% |
| Agricultural and Biological Sciences | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Social Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 12 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 14 December 2018.
All research outputs
#3,383,449
of 23,911,072 outputs
Outputs from Current Medical Science
#11
of 366 outputs
Outputs of similar age
#74,909
of 442,695 outputs
Outputs of similar age from Current Medical Science
#1
of 1 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 366 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 97% 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 442,695 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 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them