The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Transcriptomic analysis of human ALS skeletal muscle reveals a disease-specific pattern of dysregulated circRNAs
|
|---|---|
| Published in |
Aging, December 2022
|
| DOI | 10.18632/aging.204450 |
| Pubmed ID | |
| Authors |
Dimitrios Tsitsipatis, Krystyna Mazan-Mamczarz, Ying Si, Allison B Herman, Jen-Hao Yang, Abhishek Guha, Yulan Piao, Jinshui Fan, Jennifer L Martindale, Rachel Munk, Xiaoling Yang, Supriyo De, Brijesh K Singh, Ritchie Ho, Myriam Gorospe, Peter H King |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Student > Master | 2 | 11% |
| Other | 1 | 6% |
| Unspecified | 1 | 6% |
| Unknown | 10 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 28% |
| Unspecified | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Neuroscience | 1 | 6% |
| Unknown | 10 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 23 June 2023.
All research outputs
#915,002
of 25,934,828 outputs
Outputs from Aging
#275
of 4,217 outputs
Outputs of similar age
#20,331
of 482,322 outputs
Outputs of similar age from Aging
#18
of 79 outputs
Altmetric has tracked 25,934,828 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,217 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. 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 482,322 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 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.