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X Demographics
Mendeley readers
Attention Score in Context
Title |
Functional effects of muscle PGC-1alpha in aged animals
|
---|---|
Published in |
Skeletal Muscle, May 2020
|
DOI | 10.1186/s13395-020-00231-8 |
Pubmed ID | |
Authors |
Steven Yang, Emanuele Loro, Shogo Wada, Boa Kim, Wei-Ju Tseng, Kristina Li, Tejvir S. Khurana, Zoltan Arany |
X Demographics
The data shown below were collected from the profiles of 33 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 | 9 | 27% |
Canada | 5 | 15% |
United Kingdom | 3 | 9% |
Chile | 2 | 6% |
Argentina | 1 | 3% |
Australia | 1 | 3% |
Finland | 1 | 3% |
Norway | 1 | 3% |
Unknown | 10 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 17 | 52% |
Members of the public | 13 | 39% |
Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 14% |
Student > Ph. D. Student | 7 | 11% |
Student > Bachelor | 7 | 11% |
Researcher | 6 | 9% |
Student > Doctoral Student | 3 | 5% |
Other | 10 | 16% |
Unknown | 22 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 17 | 27% |
Medicine and Dentistry | 8 | 13% |
Sports and Recreations | 3 | 5% |
Nursing and Health Professions | 3 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Other | 7 | 11% |
Unknown | 24 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 25 May 2020.
All research outputs
#1,616,162
of 23,376,718 outputs
Outputs from Skeletal Muscle
#27
of 368 outputs
Outputs of similar age
#44,510
of 383,484 outputs
Outputs of similar age from Skeletal Muscle
#1
of 11 outputs
Altmetric has tracked 23,376,718 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 368 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. 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 383,484 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 88% of its contemporaries.
We're also able to compare this research output to 11 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 99% of its contemporaries.