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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 19 | 35% |
Japan | 3 | 5% |
Germany | 2 | 4% |
New Zealand | 1 | 2% |
Lithuania | 1 | 2% |
El Salvador | 1 | 2% |
Philippines | 1 | 2% |
Iraq | 1 | 2% |
Slovenia | 1 | 2% |
Other | 1 | 2% |
Unknown | 24 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 39 | 71% |
Scientists | 16 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 302 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 63 | 21% |
Student > Ph. D. Student | 53 | 18% |
Student > Master | 22 | 7% |
Student > Doctoral Student | 16 | 5% |
Student > Bachelor | 15 | 5% |
Other | 34 | 11% |
Unknown | 99 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 87 | 29% |
Agricultural and Biological Sciences | 38 | 13% |
Medicine and Dentistry | 18 | 6% |
Neuroscience | 15 | 5% |
Immunology and Microbiology | 8 | 3% |
Other | 28 | 9% |
Unknown | 108 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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
#1,106,396
of 25,850,376 outputs
Outputs from Cell
#4,064
of 17,301 outputs
Outputs of similar age
#25,200
of 365,785 outputs
Outputs of similar age from Cell
#107
of 174 outputs
Altmetric has tracked 25,850,376 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 17,301 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.9. 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 365,785 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.