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Heteromeric RNP Assembly at LINEs Controls Lineage-Specific RNA Processing

Overview of attention for article published in Cell, August 2018
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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 (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
79 X users
patent
2 patents
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
123 Dimensions

Readers on

mendeley
243 Mendeley
citeulike
2 CiteULike
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Title
Heteromeric RNP Assembly at LINEs Controls Lineage-Specific RNA Processing
Published in
Cell, August 2018
DOI 10.1016/j.cell.2018.07.001
Pubmed ID
Authors

Jan Attig, Federico Agostini, Clare Gooding, Anob M. Chakrabarti, Aarti Singh, Nejc Haberman, Julian A. Zagalak, Warren Emmett, Christopher W.J. Smith, Nicholas M. Luscombe, Jernej Ule

X Demographics

X Demographics

The data shown below were collected from the profiles of 79 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 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 243 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 26%
Researcher 56 23%
Student > Bachelor 18 7%
Student > Master 17 7%
Professor > Associate Professor 11 5%
Other 33 14%
Unknown 46 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 102 42%
Agricultural and Biological Sciences 38 16%
Immunology and Microbiology 14 6%
Neuroscience 10 4%
Medicine and Dentistry 8 3%
Other 20 8%
Unknown 51 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 01 June 2023.
All research outputs
#829,267
of 24,891,087 outputs
Outputs from Cell
#3,379
of 17,094 outputs
Outputs of similar age
#17,895
of 336,362 outputs
Outputs of similar age from Cell
#90
of 157 outputs
Altmetric has tracked 24,891,087 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,094 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 58.0. This one has done well, scoring higher than 80% 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 336,362 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 94% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.