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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
An Introduction to RNA Databases
|
|---|---|
| Chapter number | 6 |
| Book title |
RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods
|
| Published in |
Methods in molecular biology, March 2014
|
| DOI | 10.1007/978-1-62703-709-9_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-708-2, 978-1-62703-709-9
|
| Authors |
Hoeppner MP, Barquist LE, Gardner PP, Marc P. Hoeppner, Lars E. Barquist, Paul P. Gardner, Hoeppner, Marc P., Barquist, Lars E., Gardner, Paul P. |
| Editors |
Jan Gorodkin, Walter L. Ruzzo |
| Abstract |
We present an introduction to RNA databases. The history and technology behind RNA databases are briefly discussed. We examine differing methods of data collection and curation and discuss their impact on both the scope and accuracy of the resulting databases. Finally, we demonstrate these principles through detailed examination of four leading RNA databases: Noncode, miRBase, Rfam, and SILVA. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 2 | 25% |
| France | 2 | 25% |
| United States | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 5% |
| India | 1 | 5% |
| Unknown | 19 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 24% |
| Student > Bachelor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 38% |
| Computer Science | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Unknown | 8 | 38% |
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 19 November 2016.
All research outputs
#4,046,658
of 24,666,614 outputs
Outputs from Methods in molecular biology
#988
of 13,875 outputs
Outputs of similar age
#38,091
of 228,602 outputs
Outputs of similar age from Methods in molecular biology
#11
of 145 outputs
Altmetric has tracked 24,666,614 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 13,875 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 228,602 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 83% of its contemporaries.
We're also able to compare this research output to 145 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 93% of its contemporaries.