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X Demographics
Mendeley readers
Attention Score in Context
Title |
Protein profile of fiber types in human skeletal muscle: a single-fiber proteomics study
|
---|---|
Published in |
Skeletal Muscle, November 2021
|
DOI | 10.1186/s13395-021-00279-0 |
Pubmed ID | |
Authors |
Marta Murgia, Leonardo Nogara, Martina Baraldo, Carlo Reggiani, Matthias Mann, Stefano Schiaffino |
X Demographics
The data shown below were collected from the profiles of 46 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 | 11 | 24% |
Canada | 7 | 15% |
Italy | 2 | 4% |
Germany | 2 | 4% |
Australia | 2 | 4% |
Switzerland | 2 | 4% |
India | 1 | 2% |
Japan | 1 | 2% |
Spain | 1 | 2% |
Other | 6 | 13% |
Unknown | 11 | 24% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 25 | 54% |
Members of the public | 18 | 39% |
Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 76 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 28% |
Student > Master | 10 | 13% |
Student > Doctoral Student | 6 | 8% |
Researcher | 6 | 8% |
Student > Postgraduate | 4 | 5% |
Other | 8 | 11% |
Unknown | 21 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 22 | 29% |
Sports and Recreations | 8 | 11% |
Medicine and Dentistry | 5 | 7% |
Agricultural and Biological Sciences | 3 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
Other | 10 | 13% |
Unknown | 25 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 August 2022.
All research outputs
#1,382,554
of 24,330,613 outputs
Outputs from Skeletal Muscle
#22
of 376 outputs
Outputs of similar age
#32,309
of 432,224 outputs
Outputs of similar age from Skeletal Muscle
#2
of 6 outputs
Altmetric has tracked 24,330,613 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 376 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 94% 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 432,224 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 92% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.