| Title |
Parkinson’s disease following COVID-19: causal link or chance occurrence?
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2020
|
| DOI | 10.1186/s12967-020-02670-9 |
| Pubmed ID | |
| Authors |
Wei-Shan Li, Ling-Ling Chan, Yin-Xia Chao, Eng-King Tan |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 15% |
| Student > Bachelor | 6 | 15% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 27% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Nursing and Health Professions | 4 | 10% |
| Neuroscience | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 13 February 2024.
All research outputs
#2,193,288
of 25,802,847 outputs
Outputs from Journal of Translational Medicine
#392
of 4,716 outputs
Outputs of similar age
#59,432
of 529,888 outputs
Outputs of similar age from Journal of Translational Medicine
#14
of 91 outputs
Altmetric has tracked 25,802,847 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,716 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 91% 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 529,888 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 88% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.