Functional Analysis of Long Non-Coding RNAs
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Annotation of Full-Length Long Noncoding RNAs with Capture Long-Read Sequencing (CLS)
|
|---|---|
| Book title |
Functional Analysis of Long Non-Coding RNAs
|
| Published in |
Methods in molecular biology, December 2020
|
| DOI | 10.1007/978-1-0716-1158-6_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161157-9, 978-1-07-161158-6
|
| Authors |
Sílvia Carbonell Sala, Barbara Uszczyńska-Ratajczak, Julien Lagarde, Rory Johnson, Roderic Guigó, Carbonell Sala, Sílvia, Uszczyńska-Ratajczak, Barbara, Lagarde, Julien, Johnson, Rory, Guigó, Roderic |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 18% |
| Researcher | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Other | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 45% |
| Agricultural and Biological Sciences | 2 | 18% |
| Computer Science | 1 | 9% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 December 2020.
All research outputs
#13,214,959
of 23,285,523 outputs
Outputs from Methods in molecular biology
#3,371
of 13,326 outputs
Outputs of similar age
#212,310
of 475,238 outputs
Outputs of similar age from Methods in molecular biology
#58
of 267 outputs
Altmetric has tracked 23,285,523 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,326 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% 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 475,238 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 267 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.