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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Detection and Analysis of Non-vesicular Extracellular RNA
|
|---|---|
| Chapter number | 10 |
| Book title |
Extracellular RNA
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7652-2_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7651-5, 978-1-4939-7652-2
|
| Authors |
Juan Pablo Tosar, Alfonso Cayota, Tosar, Juan Pablo, Cayota, Alfonso |
| Abstract |
Although extracellular vesicles (EVs) are by far the most studied carriers of extracellular small RNAs involved in cell-to-cell communication, most extracellular small RNAs are actually present as soluble vesicle-free supramolecular complexes. Several proteins have been described as the counterparts of these RNase-protected complexes. Here we describe a method for the purification and analysis of non-vesicular extracellular RNA derived from the conditioned media of mammalian cell culture. Focus on this fraction will increase our understanding on extracellular RNA biology, while serving as a source for biomarker discovery complementary to EVs. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 2 | 40% |
| Uruguay | 2 | 40% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 23% |
| Student > Master | 3 | 14% |
| Student > Doctoral Student | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Professor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 32% |
| Agricultural and Biological Sciences | 4 | 18% |
| Medicine and Dentistry | 3 | 14% |
| Immunology and Microbiology | 1 | 5% |
| Chemistry | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 December 2022.
All research outputs
#5,711,906
of 23,392,375 outputs
Outputs from Methods in molecular biology
#1,571
of 13,330 outputs
Outputs of similar age
#111,408
of 444,524 outputs
Outputs of similar age from Methods in molecular biology
#141
of 1,496 outputs
Altmetric has tracked 23,392,375 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,330 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 88% of its peers.
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 444,524 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1,496 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.