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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 (93rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
55 X users

Citations

dimensions_citation
220 Dimensions

Readers on

mendeley
300 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 300 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 63 21%
Student > Ph. D. Student 52 17%
Student > Master 22 7%
Student > Doctoral Student 16 5%
Student > Bachelor 15 5%
Other 33 11%
Unknown 99 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 86 29%
Agricultural and Biological Sciences 38 13%
Medicine and Dentistry 18 6%
Neuroscience 15 5%
Immunology and Microbiology 8 3%
Other 27 9%
Unknown 108 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 15 September 2022.
All research outputs
#1,086,350
of 25,385,509 outputs
Outputs from Cell
#3,981
of 17,170 outputs
Outputs of similar age
#25,192
of 364,342 outputs
Outputs of similar age from Cell
#107
of 174 outputs
Altmetric has tracked 25,385,509 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 17,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.1. This one has done well, scoring higher than 76% 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 364,342 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 93% of its contemporaries.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.