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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
MiRNA Expression in Cystic Fibrosis Bronchial Epithelial Cells.
|
|---|---|
| Chapter number | 7 |
| Book title |
MicroRNA Profiling
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6524-3_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6522-9, 978-1-4939-6524-3
|
| Authors |
Irene K. Oglesby, Paul J. McKiernan |
| Editors |
Sweta Rani |
| Abstract |
Bronchial epithelial cells represent an invaluable tool to elucidate molecular signaling regulation in cystic fibrosis (CF). CF is a lethal genetic condition characterized by chronic inflammation in which bronchial epithelial cells play a pivotal role. Here we describe their use in analysis of microRNA (miRNA) and their target genes following a two-step RT-PCR miRNA profiling method in bronchial cell specimens from CF and control individuals where 667 human miRNA were examined. We also describe an approach to experimental modulation of these miRNA in vitro. |
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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 22% |
| Researcher | 2 | 22% |
| Student > Master | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 33% |
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Energy | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Engineering | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
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 20 January 2017.
All research outputs
#18,482,034
of 22,901,818 outputs
Outputs from Methods in molecular biology
#7,927
of 13,134 outputs
Outputs of similar age
#310,530
of 420,455 outputs
Outputs of similar age from Methods in molecular biology
#691
of 1,074 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,134 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 420,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.