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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring smooth muscle phenotype and function in a bioreactor model of abdominal aortic aneurysm
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2013
|
| DOI | 10.1186/1479-5876-11-208 |
| Pubmed ID | |
| Authors |
Kirsten Riches, Timothy G Angelini, Gurprit S Mudhar, Jean Kaye, Emily Clark, Marc A Bailey, Soroush Sohrabi, Sotirios Korossis, Peter G Walker, D Julian A Scott, Karen E Porter |
| Abstract |
Vascular smooth muscle cells (SMC) are central to arterial structure and function yet their involvement in the progression of abdominal aortic aneurysm (AAA) disease is not well studied. The progressive and silent nature of AAA in man essentially restricts research to the use of "end-stage" tissue recovered during surgical repair. This study aimed to generate an ex vivo model of AAA using protease-treated porcine carotid arteries maintained in a novel bioreactor, and to compare the structural and functional changes in SMC cultured from the recovered vessels with those from human tissue acquired at elective surgical repair. |
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 % |
|---|---|---|
| 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Austria | 1 | <1% |
| Unknown | 113 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 32 | 28% |
| Researcher | 31 | 27% |
| Student > Ph. D. Student | 12 | 10% |
| Student > Master | 9 | 8% |
| Student > Bachelor | 8 | 7% |
| Other | 9 | 8% |
| Unknown | 15 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 47% |
| Medicine and Dentistry | 15 | 13% |
| Biochemistry, Genetics and Molecular Biology | 11 | 9% |
| Engineering | 7 | 6% |
| Materials Science | 3 | 3% |
| Other | 7 | 6% |
| Unknown | 18 | 16% |
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 12 September 2013.
All research outputs
#20,202,510
of 22,721,584 outputs
Outputs from Journal of Translational Medicine
#3,303
of 3,973 outputs
Outputs of similar age
#173,745
of 198,485 outputs
Outputs of similar age from Journal of Translational Medicine
#29
of 57 outputs
Altmetric has tracked 22,721,584 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 3,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 198,485 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 57 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.