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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Overview of Protocols for Studying Extracellular RNA and Extracellular Vesicles
|
|---|---|
| Chapter number | 2 |
| Book title |
Extracellular RNA
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7652-2_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7651-5, 978-1-4939-7652-2
|
| Authors |
Julia Small, Roger Alexander, Leonora Balaj, Sabrina Roy |
| Abstract |
Understanding the role of extracellular RNA (exRNA) has emerged as an exciting avenue for biomarker, therapeutic, as well as basic cell-cell communication applications and discoveries. Multiple protocols, kits, and procedures have been developed in the last decade to allow fractionation as well as isolation of subpopulations of macromolecules of interest found in biofluids. Here, we introduce the protocols decision tree developed by the Extracellular RNA Communication Consortium and available on their website (exRNA portal), and compare all methods currently available to the exRNA field and report pros and cons for each platform. |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
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 | 6 | 27% |
| Student > Doctoral Student | 3 | 14% |
| Professor > Associate Professor | 2 | 9% |
| Student > Master | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 32% |
| Medicine and Dentistry | 3 | 14% |
| Agricultural and Biological Sciences | 2 | 9% |
| Immunology and Microbiology | 2 | 9% |
| Chemical Engineering | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 August 2020.
All research outputs
#15,962,021
of 25,257,066 outputs
Outputs from Methods in molecular biology
#4,721
of 14,164 outputs
Outputs of similar age
#255,159
of 455,677 outputs
Outputs of similar age from Methods in molecular biology
#445
of 1,486 outputs
Altmetric has tracked 25,257,066 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,164 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 63% 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 455,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,486 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.