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A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry

Overview of attention for article published in Nature Communications, February 2020
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
45 X users

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
138 Mendeley
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Title
A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry
Published in
Nature Communications, February 2020
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

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.
Mendeley readers

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

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.