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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Cardiomyocyte Differentiation from Human Embryonic Stem Cells
|
|---|---|
| Chapter number | 5 |
| Book title |
Experimental Models of Cardiovascular Diseases
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-8597-5_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8596-8, 978-1-4939-8597-5
|
| Authors |
Silvia Mazzotta, Adam T. Lynch, Stefan Hoppler, Mazzotta, Silvia, Lynch, Adam T., Hoppler, Stefan |
| Abstract |
In vitro generated human cardiomyocytes hold the ultimate promise for heart patients for repair of injured or diseased myocardium, but they also provide experimental models for studying normal cardiomyocyte development, for disease modeling and for drug development. Here we provide reliable protocols for differentiation of human embryonic stem cells into functional cardiomyocytes, together with Notes about troubleshooting and optimizing such protocols for specific cell lines. This chapter also briefly discusses other published protocols and those further adapted for differentiation of induced pluripotent stem cells into cardiomyocytes. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Student > Bachelor | 3 | 25% |
| Student > Postgraduate | 1 | 8% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 42% |
| Business, Management and Accounting | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Unknown | 4 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 July 2018.
All research outputs
#13,104,474
of 23,094,276 outputs
Outputs from Methods in molecular biology
#3,331
of 13,208 outputs
Outputs of similar age
#207,578
of 442,658 outputs
Outputs of similar age from Methods in molecular biology
#283
of 1,499 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% 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 442,658 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 52% of its contemporaries.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.