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Attention Score in Context
Chapter title |
Engraftment of FACS Isolated Muscle Stem Cells into Injured Skeletal Muscle
|
---|---|
Chapter number | 11 |
Book title |
Muscle Stem Cells
|
Published in |
Methods in molecular biology, March 2017
|
DOI | 10.1007/978-1-4939-6771-1_11 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6769-8, 978-1-4939-6771-1
|
Authors |
Matthew Tierney, Alessandra Sacco |
Editors |
Eusebio Perdiguero, DDW Cornelison |
Abstract |
Skeletal muscle stem cell (MuSC) isolation and transplantation are invaluable tools to assess their capacity for self-renewal and tissue repair. Significant technical advances in recent years have led to the optimization of these approaches, improving our ability to assess MuSC regenerative potential. Here, we describe the procedures for Fluorescent Activated Cell Sorting (FACS)-based isolation of MuSC, their intramuscular transplantation, and analysis of their engraftment into host tissues. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 11% |
Unknown | 8 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 33% |
Student > Ph. D. Student | 2 | 22% |
Unspecified | 1 | 11% |
Lecturer > Senior Lecturer | 1 | 11% |
Researcher | 1 | 11% |
Other | 0 | 0% |
Unknown | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 33% |
Unspecified | 1 | 11% |
Nursing and Health Professions | 1 | 11% |
Agricultural and Biological Sciences | 1 | 11% |
Neuroscience | 1 | 11% |
Other | 1 | 11% |
Unknown | 1 | 11% |
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 27 February 2018.
All research outputs
#15,448,846
of 22,958,253 outputs
Outputs from Methods in molecular biology
#5,372
of 13,137 outputs
Outputs of similar age
#197,714
of 311,244 outputs
Outputs of similar age from Methods in molecular biology
#98
of 268 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 311,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 268 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.