| Title |
Endothelial- and Immune Cell-Derived Extracellular Vesicles in the Regulation of Cardiovascular Health and Disease
|
|---|---|
| Published in |
JACC: Basic to Translational Science, December 2017
|
| DOI | 10.1016/j.jacbts.2017.08.004 |
| Pubmed ID | |
| Authors |
Felix Jansen, Qian Li, Alexander Pfeifer, Nikos Werner |
| Abstract |
Intercellular signaling by extracellular vesicles (EVs) is a route of cell-cell crosstalk that allows cells to deliver biological messages to specific recipient cells. EVs convey these messages through their distinct cargoes consisting of cytokines, proteins, nucleic acids, and lipids, which they transport from the donor cell to the recipient cell. In cardiovascular disease (CVD), endothelial- and immune cell-derived EVs are emerging as key players in different stages of disease development. EVs can contribute to atherosclerosis development and progression by promoting endothelial dysfunction, intravascular calcification, unstable plaque progression, and thrombus formation after rupture. In contrast, an increasing body of evidence highlights the beneficial effects of certain EVs on vascular function and endothelial regeneration. However, the effects of EVs in CVD are extremely complex and depend on the cellular origin, the functional state of the releasing cells, the biological content, and the diverse recipient cells. This paper summarizes recent progress in our understanding of EV signaling in cardiovascular health and disease and its emerging potential as a therapeutic agent. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 15% |
| Germany | 3 | 15% |
| United States | 3 | 15% |
| Mexico | 2 | 10% |
| Switzerland | 1 | 5% |
| Portugal | 1 | 5% |
| Canada | 1 | 5% |
| Netherlands | 1 | 5% |
| Nigeria | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 4 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 45% |
| Members of the public | 8 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 21% |
| Student > Doctoral Student | 15 | 11% |
| Researcher | 14 | 11% |
| Student > Master | 11 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 21 | 16% |
| Unknown | 33 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 20% |
| Biochemistry, Genetics and Molecular Biology | 24 | 18% |
| Agricultural and Biological Sciences | 10 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 5% |
| Engineering | 5 | 4% |
| Other | 17 | 13% |
| Unknown | 42 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 23 April 2022.
All research outputs
#3,076,220
of 25,382,440 outputs
Outputs from JACC: Basic to Translational Science
#258
of 799 outputs
Outputs of similar age
#65,496
of 448,978 outputs
Outputs of similar age from JACC: Basic to Translational Science
#9
of 14 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 799 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 67% 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 448,978 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.