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X Demographics
Mendeley readers
Attention Score in Context
Title |
A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry
|
---|---|
Published in |
Nature Communications, February 2020
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DOI | 10.1038/s41467-020-14665-7 |
Pubmed ID | |
Authors |
Samuel Wein, Byron Andrews, Timo Sachsenberg, Helena Santos-Rosa, Oliver Kohlbacher, Tony Kouzarides, Benjamin A. Garcia, Hendrik Weisser |
X Demographics
The data shown below were collected from the profiles of 45 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 | 10 | 22% |
United Kingdom | 4 | 9% |
France | 4 | 9% |
Germany | 3 | 7% |
India | 2 | 4% |
Australia | 1 | 2% |
Panama | 1 | 2% |
Ecuador | 1 | 2% |
Israel | 1 | 2% |
Other | 3 | 7% |
Unknown | 15 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 28 | 62% |
Scientists | 15 | 33% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 138 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 22% |
Researcher | 28 | 20% |
Student > Master | 14 | 10% |
Student > Bachelor | 10 | 7% |
Student > Doctoral Student | 9 | 7% |
Other | 18 | 13% |
Unknown | 28 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 51 | 37% |
Agricultural and Biological Sciences | 17 | 12% |
Chemistry | 13 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
Computer Science | 3 | 2% |
Other | 15 | 11% |
Unknown | 34 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 30 May 2023.
All research outputs
#525,627
of 25,622,179 outputs
Outputs from Nature Communications
#8,954
of 57,837 outputs
Outputs of similar age
#13,376
of 383,025 outputs
Outputs of similar age from Nature Communications
#237
of 1,544 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 57,837 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has done well, scoring higher than 84% 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 383,025 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 96% of its contemporaries.
We're also able to compare this research output to 1,544 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.