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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Circulating microRNAs as Hormones: Intercellular and Inter-organ Conveyors of Epigenetic Information?
|
|---|---|
| Chapter number | 12 |
| Book title |
Circulating microRNAs in Disease Diagnostics and their Potential Biological Relevance
|
| Published in |
EXS, January 2015
|
| DOI | 10.1007/978-3-0348-0955-9_12 |
| Pubmed ID | |
| Book ISBNs |
978-3-03-480953-5, 978-3-03-480955-9
|
| Authors |
Yoshioka, Yusuke, Katsuda, Takeshi, Ochiya, Takahiro, Yusuke Yoshioka, Takeshi Katsuda, Takahiro Ochiya |
| Abstract |
The discovery of microRNAs (miRNAs) has created a paradigm shift not only in the traditional central dogma of molecular biology but also in the research of a variety of human diseases. Fourteen years after the discovery of miRNAs, there was another revolutionary finding: cells can shuttle miRNAs between each other via small lipid bilayer vesicles called exosomes. This exosome-mediated horizontal transfer of genetically encoded messages is now recognized as a means of intercellular communication. This chapter reviews the concept that miRNAs can function as hormones conveying epigenetic information. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 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 % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 50% |
| Professor > Associate Professor | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Researcher | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 30% |
| Agricultural and Biological Sciences | 3 | 30% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Unknown | 3 | 30% |
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 28 November 2015.
All research outputs
#18,431,664
of 22,834,308 outputs
Outputs from EXS
#72
of 94 outputs
Outputs of similar age
#255,931
of 353,194 outputs
Outputs of similar age from EXS
#7
of 14 outputs
Altmetric has tracked 22,834,308 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 94 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one is in the 12th percentile – i.e., 12% 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 353,194 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
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 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.