↓ Skip to main content

Small RNA Sequencing across Diverse Biofluids Identifies Optimal Methods for exRNA Isolation

Overview of attention for article published in Cell, April 2019
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
57 tweeters

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
110 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Small RNA Sequencing across Diverse Biofluids Identifies Optimal Methods for exRNA Isolation
Published in
Cell, April 2019
DOI 10.1016/j.cell.2019.03.024
Pubmed ID
Authors

Srimeenakshi Srinivasan, Ashish Yeri, Pike See Cheah, Allen Chung, Kirsty Danielson, Peter De Hoff, Justyna Filant, Clara D. Laurent, Lucie D. Laurent, Rogan Magee, Courtney Moeller, Venkatesh L. Murthy, Parham Nejad, Anu Paul, Isidore Rigoutsos, Rodosthenis Rodosthenous, Ravi V. Shah, Bridget Simonson, Cuong To, David Wong, Irene K. Yan, Xuan Zhang, Leonora Balaj, Xandra O. Breakefield, George Daaboul, Roopali Gandhi, Jodi Lapidus, Eric Londin, Tushar Patel, Robert L. Raffai, Anil K. Sood, Roger P. Alexander, Saumya Das, Louise C. Laurent

Twitter Demographics

The data shown below were collected from the profiles of 57 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 22%
Student > Ph. D. Student 22 20%
Student > Doctoral Student 8 7%
Student > Bachelor 8 7%
Student > Postgraduate 7 6%
Other 15 14%
Unknown 26 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 24%
Biochemistry, Genetics and Molecular Biology 26 24%
Medicine and Dentistry 8 7%
Neuroscience 8 7%
Immunology and Microbiology 4 4%
Other 8 7%
Unknown 30 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 23 April 2019.
All research outputs
#603,803
of 13,960,267 outputs
Outputs from Cell
#2,573
of 14,822 outputs
Outputs of similar age
#21,007
of 263,276 outputs
Outputs of similar age from Cell
#112
of 171 outputs
Altmetric has tracked 13,960,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.4. This one has done well, scoring higher than 82% 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 263,276 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.