You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Plasma Levels of α-Synuclein, Aβ-40 and T-tau as Biomarkers to Predict Cognitive Impairment in Parkinson’s Disease
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, April 2020
|
| DOI | 10.3389/fnagi.2020.00112 |
| Pubmed ID | |
| Authors |
Nai-Ching Chen, Hsiu-Ling Chen, Shau-Hsuan Li, Yen-Hsiang Chang, Meng-Hsiang Chen, Nai-Wen Tsai, Chiun-Chieh Yu, Shieh-Yueh Yang, Cheng-Hsien Lu, Wei-Che Lin |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 40% |
| France | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Bachelor | 8 | 16% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 15 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 24% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Agricultural and Biological Sciences | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 16 | 33% |
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 21 July 2020.
All research outputs
#3,331,458
of 26,005,389 outputs
Outputs from Frontiers in Aging Neuroscience
#1,372
of 5,615 outputs
Outputs of similar age
#81,305
of 410,566 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#40
of 102 outputs
Altmetric has tracked 26,005,389 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 5,615 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 74% 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 410,566 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 80% of its contemporaries.
We're also able to compare this research output to 102 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 56% of its contemporaries.