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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative patterns of motor cortex proteinopathy across ALS genotypes
|
|---|---|
| Published in |
Acta Neuropathologica Communications, July 2020
|
| DOI | 10.1186/s40478-020-00961-2 |
| Pubmed ID | |
| Authors |
Matthew Nolan, Connor Scott, Menuka Pallebage Gamarallage, Daniel Lunn, Kilda Carpenter, Elizabeth McDonough, Dan Meyer, Sireesha Kaanumalle, Alberto Santamaria-Pang, Martin R. Turner, Kevin Talbot, Olaf Ansorge |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 9 | 56% |
| United States | 5 | 31% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 18% |
| Student > Ph. D. Student | 15 | 17% |
| Student > Bachelor | 13 | 15% |
| Researcher | 13 | 15% |
| Student > Doctoral Student | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 21 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 22 | 25% |
| Biochemistry, Genetics and Molecular Biology | 13 | 15% |
| Agricultural and Biological Sciences | 9 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Medicine and Dentistry | 5 | 6% |
| Other | 9 | 10% |
| Unknown | 25 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 06 February 2021.
All research outputs
#1,267,969
of 23,220,133 outputs
Outputs from Acta Neuropathologica Communications
#93
of 1,406 outputs
Outputs of similar age
#37,262
of 398,655 outputs
Outputs of similar age from Acta Neuropathologica Communications
#9
of 63 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done particularly well, scoring higher than 93% 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 398,655 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 90% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.