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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A non-synonymous single nucleotide polymorphism in SIRT6 predicts neurological severity in Friedreich ataxia
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, September 2022
|
| DOI | 10.3389/fmolb.2022.933788 |
| Pubmed ID | |
| Authors |
Layne N. Rodden, Christian Rummey, Yi Na Dong, Sarah Lagedrost, Sean Regner, Alicia Brocht, Khalaf Bushara, Martin B. Delatycki, Christopher M. Gomez, Katherine Mathews, Sarah Murray, Susan Perlman, Bernard Ravina, S. H. Subramony, George Wilmot, Theresa Zesiewicz, Alessandra Bolotta, Alain Domissy, Christine Jespersen, Baohu Ji, Elisabetta Soragni, Joel M. Gottesfeld, David R. Lynch |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 30% |
| Unspecified | 1 | 10% |
| Professor > Associate Professor | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
| Unspecified | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Neuroscience | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 27 October 2022.
All research outputs
#6,126,825
of 23,597,497 outputs
Outputs from Frontiers in Molecular Biosciences
#530
of 4,119 outputs
Outputs of similar age
#113,138
of 434,394 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#41
of 405 outputs
Altmetric has tracked 23,597,497 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,119 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 87% 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 434,394 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 405 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.