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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Design and Fabrication of Biological Wires
|
|---|---|
| Chapter number | 14 |
| Book title |
Cardiac Tissue Engineering
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-4939-1047-2_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1046-5, 978-1-4939-1047-2
|
| Authors |
Jason W. Miklas, Sara S. Nunes, Boyang Zhang, Milica Radisic, Miklas, Jason W., Nunes, Sara S., Zhang, Boyang, Radisic, Milica |
| Abstract |
Cardiac tissue engineering using human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) has facilitated the creation of in vitro diagnostic platforms to study novel small molecules and cardiac disease at the tissue level. Yet, due to the immaturity of hPSC-CMs, there is a low fidelity between tissue-engineered cardiac tissues and adult cardiac tissues. To address this challenge, we have developed a platform that combines both physical and electrical cues to guide hPSC-CMs towards a more mature state in vitro. |
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 % |
|---|---|---|
| Canada | 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 25% |
| Student > Master | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 25% |
| Engineering | 3 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Social Sciences | 1 | 8% |
| Business, Management and Accounting | 1 | 8% |
| Other | 2 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 January 2015.
All research outputs
#14,793,491
of 22,776,824 outputs
Outputs from Methods in molecular biology
#4,677
of 13,092 outputs
Outputs of similar age
#183,163
of 305,347 outputs
Outputs of similar age from Methods in molecular biology
#182
of 597 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,092 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% 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 305,347 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.