| Title |
Disrupting the α-synuclein-ESCRT interaction with a peptide inhibitor mitigates neurodegeneration in preclinical models of Parkinson’s disease
|
|---|---|
| Published in |
Nature Communications, April 2023
|
| DOI | 10.1038/s41467-023-37464-2 |
| Pubmed ID | |
| Authors |
Satra Nim, Darren M. O’Hara, Carles Corbi-Verge, Albert Perez-Riba, Kazuko Fujisawa, Minesh Kapadia, Hien Chau, Federica Albanese, Grishma Pawar, Mitchell L. De Snoo, Sophie G. Ngana, Jisun Kim, Omar M. A. El-Agnaf, Enrico Rennella, Lewis E. Kay, Suneil K. Kalia, Lorraine V. Kalia, Philip M. Kim |
X Demographics
The data shown below were collected from the profiles of 53 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 12 | 23% |
| United States | 7 | 13% |
| United Kingdom | 4 | 8% |
| India | 2 | 4% |
| France | 2 | 4% |
| Singapore | 1 | 2% |
| Paraguay | 1 | 2% |
| Unknown | 24 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 55% |
| Scientists | 18 | 34% |
| Practitioners (doctors, other healthcare professionals) | 3 | 6% |
| Science communicators (journalists, bloggers, editors) | 3 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Bachelor | 2 | 13% |
| Unspecified | 1 | 6% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Chemistry | 2 | 13% |
| Unspecified | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 143. 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 17 June 2023.
All research outputs
#272,189
of 24,450,293 outputs
Outputs from Nature Communications
#4,023
of 52,461 outputs
Outputs of similar age
#6,343
of 396,112 outputs
Outputs of similar age from Nature Communications
#128
of 1,948 outputs
Altmetric has tracked 24,450,293 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 52,461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.2. This one has done particularly well, scoring higher than 92% 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 396,112 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 1,948 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 93% of its contemporaries.