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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Established cell surface markers efficiently isolate highly overlapping populations of skeletal muscle satellite cells by fluorescence-activated cell sorting
|
|---|---|
| Published in |
Skeletal Muscle, November 2016
|
| DOI | 10.1186/s13395-016-0106-6 |
| Pubmed ID | |
| Authors |
Claire C. Maesner, Albert E. Almada, Amy J. Wagers |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | <1% |
| Unknown | 169 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 28% |
| Researcher | 27 | 16% |
| Student > Bachelor | 15 | 9% |
| Student > Master | 13 | 8% |
| Student > Doctoral Student | 10 | 6% |
| Other | 20 | 12% |
| Unknown | 38 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 51 | 30% |
| Agricultural and Biological Sciences | 34 | 20% |
| Medicine and Dentistry | 16 | 9% |
| Engineering | 10 | 6% |
| Immunology and Microbiology | 4 | 2% |
| Other | 16 | 9% |
| Unknown | 39 | 23% |
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 17 October 2019.
All research outputs
#5,910,571
of 22,899,952 outputs
Outputs from Skeletal Muscle
#165
of 362 outputs
Outputs of similar age
#90,287
of 312,900 outputs
Outputs of similar age from Skeletal Muscle
#8
of 13 outputs
Altmetric has tracked 22,899,952 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 362 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 54% 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 312,900 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 70% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.