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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Using Transgenic Zebrafish to Study Muscle Stem/Progenitor Cells
|
|---|---|
| Chapter number | 6 |
| Book title |
Muscle Stem Cells
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/978-1-4939-6771-1_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6769-8, 978-1-4939-6771-1
|
| Authors |
Phong D. Nguyen, Peter D. Currie, Nguyen, Phong D., Currie, Peter D. |
| Editors |
Eusebio Perdiguero, DDW Cornelison |
| Abstract |
Understanding muscle stem cell behaviors can potentially provide insights into how these cells act and respond during normal growth and diseased contexts. The zebrafish is an ideal model organism to examine these behaviors in vivo where it would normally be technically challenging in other mammalian models. This chapter will describe the procedures required to successfully conduct live imaging of zebrafish transgenics that has specifically been adapted for skeletal muscle. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 20% |
| Other | 1 | 20% |
| Lecturer > Senior Lecturer | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 1 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 2 | 40% |
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 March 2017.
All research outputs
#20,408,464
of 22,958,253 outputs
Outputs from Methods in molecular biology
#9,919
of 13,137 outputs
Outputs of similar age
#271,148
of 311,244 outputs
Outputs of similar age from Methods in molecular biology
#212
of 268 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 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 311,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.