The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling Parkinson’s Disease With the Alpha-Synuclein Protein
|
|---|---|
| Published in |
Frontiers in Pharmacology, April 2020
|
| DOI | 10.3389/fphar.2020.00356 |
| Pubmed ID | |
| Authors |
Mónica Gómez-Benito, Noelia Granado, Patricia García-Sanz, Anne Michel, Mireille Dumoulin, Rosario Moratalla |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 20% |
| France | 1 | 10% |
| Unknown | 7 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 626 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 626 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 75 | 12% |
| Student > Ph. D. Student | 66 | 11% |
| Student > Master | 57 | 9% |
| Researcher | 47 | 8% |
| Student > Doctoral Student | 19 | 3% |
| Other | 47 | 8% |
| Unknown | 315 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 86 | 14% |
| Neuroscience | 81 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 29 | 5% |
| Medicine and Dentistry | 27 | 4% |
| Agricultural and Biological Sciences | 23 | 4% |
| Other | 61 | 10% |
| Unknown | 319 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 15 December 2023.
All research outputs
#634,100
of 25,837,817 outputs
Outputs from Frontiers in Pharmacology
#234
of 20,002 outputs
Outputs of similar age
#18,989
of 406,770 outputs
Outputs of similar age from Frontiers in Pharmacology
#7
of 499 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,002 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 98% 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 406,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 499 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.