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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Temporal Progression Patterns of Brain Atrophy in Corticobasal Syndrome and Progressive Supranuclear Palsy Revealed by Subtype and Stage Inference (SuStaIn)
|
|---|---|
| Published in |
Frontiers in Neurology, February 2022
|
| DOI | 10.3389/fneur.2022.814768 |
| Pubmed ID | |
| Authors |
Yuya Saito, Koji Kamagata, Peter A. Wijeratne, Christina Andica, Wataru Uchida, Kaito Takabayashi, Shohei Fujita, Toshiaki Akashi, Akihiko Wada, Keigo Shimoji, Masaaki Hori, Yoshitaka Masutani, Daniel C. Alexander, Shigeki Aoki |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
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 | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Mathematics | 1 | 6% |
| Computer Science | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 8 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 March 2022.
All research outputs
#2,802,031
of 23,443,716 outputs
Outputs from Frontiers in Neurology
#1,661
of 12,367 outputs
Outputs of similar age
#65,670
of 442,547 outputs
Outputs of similar age from Frontiers in Neurology
#59
of 834 outputs
Altmetric has tracked 23,443,716 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,367 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 86% 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 442,547 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 85% of its contemporaries.
We're also able to compare this research output to 834 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 92% of its contemporaries.