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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
miRNAs Expression Profile in Zebrafish Developing Vessels.
|
|---|---|
| Chapter number | 7 |
| Book title |
Vascular Morphogenesis
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-1462-3_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1461-6, 978-1-4939-1462-3
|
| Authors |
Emma Ristori, Stefania Nicoli, Ristori, Emma, Nicoli, Stefania |
| Abstract |
In this chapter we will describe in detail a method to identify the expression profile of miRNAs in developing vessels in zebrafish embryonic development using Illumina deep sequencing strategy. We will describe how to obtain RNA from FACS-sorted primary endothelial cells from growing vessels at early stages of development and how to prepare high-quality small RNA libraries using the TruSeq small RNA strategy for Illumina Hi-Seq machine. This methodology can be applied to discover and profile all forms of small noncoding RNA, including novel miRNA and sequence variants as well as quantification of miRNAs differentially expressed in endothelial cells during angiogenesis. |
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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Luxembourg | 1 | 10% |
| Unknown | 9 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 40% |
| Student > Bachelor | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Professor | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 50% |
| Agricultural and Biological Sciences | 2 | 20% |
| Environmental Science | 1 | 10% |
| Neuroscience | 1 | 10% |
| Unknown | 1 | 10% |
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 04 December 2014.
All research outputs
#20,245,139
of 22,772,779 outputs
Outputs from Methods in molecular biology
#9,863
of 13,090 outputs
Outputs of similar age
#295,638
of 352,917 outputs
Outputs of similar age from Methods in molecular biology
#635
of 996 outputs
Altmetric has tracked 22,772,779 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 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. 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 352,917 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 996 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.