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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
C-to-U RNA Editing: From Computational Detection to Experimental Validation
|
|---|---|
| Chapter number | 4 |
| Book title |
RNA Editing
|
| Published in |
Methods in molecular biology, July 2020
|
| DOI | 10.1007/978-1-0716-0787-9_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-160786-2, 978-1-07-160787-9
|
| Authors |
Taga Lerner, Mitchell Kluesner, Rafail Nikolaos Tasakis, Branden S. Moriarity, F. Nina Papavasiliou, Riccardo Pecori, Lerner, Taga, Kluesner, Mitchell, Tasakis, Rafail Nikolaos, Moriarity, Branden S., Papavasiliou, F. Nina, Pecori, Riccardo |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 18% |
| United States | 2 | 18% |
| Netherlands | 1 | 9% |
| Spain | 1 | 9% |
| Peru | 1 | 9% |
| Switzerland | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 21% |
| Student > Bachelor | 2 | 14% |
| Unspecified | 1 | 7% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Librarian | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 21% |
| Unspecified | 1 | 7% |
| Linguistics | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Computer Science | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 4 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 June 2022.
All research outputs
#3,954,365
of 23,923,788 outputs
Outputs from Methods in molecular biology
#990
of 13,508 outputs
Outputs of similar age
#95,749
of 401,321 outputs
Outputs of similar age from Methods in molecular biology
#12
of 206 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,508 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 92% 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 401,321 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.