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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Morphology regulation in vascular endothelial cells
|
|---|---|
| Published in |
Inflammation and Regeneration, September 2018
|
| DOI | 10.1186/s41232-018-0083-8 |
| Pubmed ID | |
| Authors |
Kiyomi Tsuji-Tamura, Minetaro Ogawa |
| Abstract |
Morphological change in endothelial cells is an initial and crucial step in the process of establishing a functional vascular network. Following or associated with differentiation and proliferation, endothelial cells elongate and assemble into linear cord-like vessels, subsequently forming a perfusable vascular tube. In vivo and in vitro studies have begun to outline the underlying genetic and signaling mechanisms behind endothelial cell morphology regulation. This review focuses on the transcription factors and signaling pathways regulating endothelial cell behavior, involved in morphology, during vascular development. |
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 % |
|---|---|---|
| Japan | 1 | 33% |
| Nigeria | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 15% |
| Student > Master | 11 | 13% |
| Student > Doctoral Student | 8 | 9% |
| Student > Bachelor | 7 | 8% |
| Researcher | 4 | 5% |
| Other | 8 | 9% |
| Unknown | 37 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 17% |
| Medicine and Dentistry | 8 | 9% |
| Agricultural and Biological Sciences | 8 | 9% |
| Engineering | 5 | 6% |
| Chemistry | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 42 | 48% |
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 17 December 2018.
All research outputs
#16,728,456
of 25,385,509 outputs
Outputs from Inflammation and Regeneration
#149
of 258 outputs
Outputs of similar age
#212,804
of 347,461 outputs
Outputs of similar age from Inflammation and Regeneration
#5
of 8 outputs
Altmetric has tracked 25,385,509 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 258 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 37th percentile – i.e., 37% 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 347,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.