You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Skeletal muscle proteomics: current approaches, technical challenges and emerging techniques
|
|---|---|
| Published in |
Skeletal Muscle, February 2011
|
| DOI | 10.1186/2044-5040-1-6 |
| Pubmed ID | |
| Authors |
Kay Ohlendieck |
| Abstract |
Skeletal muscle fibres represent one of the most abundant cell types in mammals. Their highly specialised contractile and metabolic functions depend on a large number of membrane-associated proteins with very high molecular masses, proteins with extensive posttranslational modifications and components that exist in highly complex supramolecular structures. This makes it extremely difficult to perform conventional biochemical studies of potential changes in protein clusters during physiological adaptations or pathological processes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Brazil | 2 | <1% |
| Ireland | 1 | <1% |
| Netherlands | 1 | <1% |
| Colombia | 1 | <1% |
| Sweden | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 207 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 21% |
| Researcher | 37 | 17% |
| Student > Master | 29 | 13% |
| Student > Bachelor | 22 | 10% |
| Student > Doctoral Student | 12 | 5% |
| Other | 45 | 21% |
| Unknown | 27 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 37% |
| Medicine and Dentistry | 34 | 16% |
| Biochemistry, Genetics and Molecular Biology | 28 | 13% |
| Sports and Recreations | 8 | 4% |
| Neuroscience | 5 | 2% |
| Other | 29 | 13% |
| Unknown | 33 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 March 2013.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Skeletal Muscle
#374
of 388 outputs
Outputs of similar age
#173,244
of 193,461 outputs
Outputs of similar age from Skeletal Muscle
#9
of 9 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 388 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 193,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.