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

Overview of attention for article published in Cell, April 2019
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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
58 tweeters

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
110 Mendeley
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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 58 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 %
Unspecified 26 24%
Researcher 25 23%
Student > Ph. D. Student 24 22%
Student > Bachelor 8 7%
Student > Doctoral Student 7 6%
Other 20 18%
Readers by discipline Count As %
Unspecified 29 26%
Biochemistry, Genetics and Molecular Biology 26 24%
Agricultural and Biological Sciences 26 24%
Medicine and Dentistry 10 9%
Neuroscience 8 7%
Other 11 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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
#586,166
of 13,839,074 outputs
Outputs from Cell
#2,533
of 14,793 outputs
Outputs of similar age
#20,570
of 262,101 outputs
Outputs of similar age from Cell
#111
of 171 outputs
Altmetric has tracked 13,839,074 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 14,793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. 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 262,101 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 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.