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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 22 | 28% |
United Kingdom | 10 | 13% |
Germany | 6 | 8% |
Canada | 2 | 3% |
France | 2 | 3% |
Japan | 1 | 1% |
Israel | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 34 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 43 | 54% |
Scientists | 33 | 42% |
Science communicators (journalists, bloggers, editors) | 2 | 3% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 244 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 62 | 25% |
Researcher | 56 | 23% |
Student > Bachelor | 18 | 7% |
Student > Master | 17 | 7% |
Professor > Associate Professor | 11 | 5% |
Other | 31 | 13% |
Unknown | 49 | 20% |
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 | 18 | 7% |
Unknown | 54 | 22% |
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.