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Attention Score in Context
Chapter title |
MicroRNA Profiling of Alzheimer’s Disease Cerebrospinal Fluid
|
---|---|
Chapter number | 6 |
Book title |
Biomarkers for Alzheimer’s Disease Drug Development
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7704-8_6 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7703-1, 978-1-4939-7704-8
|
Authors |
Johannes Denk, Holger Jahn, Denk, Johannes, Jahn, Holger |
Abstract |
MicroRNAs (miRNAs) are a class of small, highly conserved, and noncoding RNAs that modulate gene expression by regulating the activity and stability of target mRNAs. MiRNAs play significant roles by controlling fundamental cellular processes and its deregulation is associated with various diseases. Ubiquitous expression and its release into circulation make them interesting biomarkers, which can be measured by different platforms. In this book chapter, we provide a specific protocol that describes the detection of circulating miRNAs in CSF by using RT-qPCR. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 33% |
Professor | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Unknown | 5 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 3 | 25% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Unknown | 7 | 58% |
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 05 April 2018.
All research outputs
#20,468,008
of 23,026,672 outputs
Outputs from Methods in molecular biology
#9,951
of 13,170 outputs
Outputs of similar age
#378,209
of 442,370 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
Altmetric has tracked 23,026,672 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 13,170 research outputs from this source. They receive a mean Attention Score of 3.4. 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 442,370 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 1,499 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.