| Title |
Engineering vascularized skeletal muscle tissue with transcriptional factor ETV2-induced autologous endothelial cells
|
|---|---|
| Published in |
Protein & Cell, April 2018
|
| DOI | 10.1007/s13238-018-0542-7 |
| Pubmed ID | |
| Authors |
Guanrong Yan, Ruibin Yan, Cheng Chen, Cheng Chen, Yanqiu Zhao, Wei Qin, Matthew B Veldman, Song Li, Shuo Lin |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 17% |
| Researcher | 3 | 17% |
| Student > Postgraduate | 2 | 11% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 28% |
| Engineering | 3 | 17% |
| Medicine and Dentistry | 2 | 11% |
| Chemistry | 1 | 6% |
| Unknown | 7 | 39% |
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 03 May 2018.
All research outputs
#15,508,366
of 23,047,237 outputs
Outputs from Protein & Cell
#483
of 746 outputs
Outputs of similar age
#208,097
of 326,560 outputs
Outputs of similar age from Protein & Cell
#18
of 27 outputs
Altmetric has tracked 23,047,237 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 746 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 27th percentile – i.e., 27% 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 326,560 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.