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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 (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
57 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
104 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 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 26 25%
Researcher 23 22%
Student > Ph. D. Student 21 20%
Student > Bachelor 8 8%
Student > Doctoral Student 7 7%
Other 19 18%
Readers by discipline Count As %
Unspecified 29 28%
Agricultural and Biological Sciences 24 23%
Biochemistry, Genetics and Molecular Biology 24 23%
Neuroscience 8 8%
Medicine and Dentistry 8 8%
Other 11 11%

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
#590,050
of 13,774,474 outputs
Outputs from Cell
#2,530
of 14,773 outputs
Outputs of similar age
#20,667
of 257,025 outputs
Outputs of similar age from Cell
#111
of 171 outputs
Altmetric has tracked 13,774,474 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 14,773 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.2. 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 257,025 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 91% 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.