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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discriminating α-synuclein strains in Parkinson’s disease and multiple system atrophy
|
|---|---|
| Published in |
Nature, February 2020
|
| DOI | 10.1038/s41586-020-1984-7 |
| Pubmed ID | |
| Authors |
Mohammad Shahnawaz, Abhisek Mukherjee, Sandra Pritzkow, Nicolas Mendez, Prakruti Rabadia, Xiangan Liu, Bo Hu, Ann Schmeichel, Wolfgang Singer, Gang Wu, Ah-Lim Tsai, Hamid Shirani, K. Peter R. Nilsson, Phillip A. Low, Claudio Soto |
X Demographics
The data shown below were collected from the profiles of 80 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 | 23 | 29% |
| United Kingdom | 11 | 14% |
| Australia | 3 | 4% |
| Japan | 3 | 4% |
| Switzerland | 3 | 4% |
| Netherlands | 2 | 3% |
| Finland | 1 | 1% |
| Argentina | 1 | 1% |
| Canada | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 27 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 51 | 64% |
| Scientists | 24 | 30% |
| Science communicators (journalists, bloggers, editors) | 4 | 5% |
| Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 594 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 594 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 100 | 17% |
| Student > Ph. D. Student | 94 | 16% |
| Student > Bachelor | 56 | 9% |
| Student > Master | 46 | 8% |
| Other | 32 | 5% |
| Other | 81 | 14% |
| Unknown | 185 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 104 | 18% |
| Biochemistry, Genetics and Molecular Biology | 99 | 17% |
| Medicine and Dentistry | 57 | 10% |
| Agricultural and Biological Sciences | 44 | 7% |
| Chemistry | 23 | 4% |
| Other | 53 | 9% |
| Unknown | 214 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 125. 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 16 December 2022.
All research outputs
#340,034
of 26,017,215 outputs
Outputs from Nature
#17,765
of 99,074 outputs
Outputs of similar age
#8,827
of 478,390 outputs
Outputs of similar age from Nature
#358
of 861 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one has done well, scoring higher than 82% 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 478,390 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 98% of its contemporaries.
We're also able to compare this research output to 861 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 58% of its contemporaries.