The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Caveats to Deep Learning Approaches to RNA Secondary Structure Prediction
|
|---|---|
| Published in |
Frontiers in Bioinformatics, July 2022
|
| DOI | 10.3389/fbinf.2022.835422 |
| Pubmed ID | |
| Authors |
Christoph Flamm, Julia Wielach, Michael T. Wolfinger, Stefan Badelt, Ronny Lorenz, Ivo L. Hofacker |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 13% |
| India | 1 | 6% |
| United States | 1 | 6% |
| Switzerland | 1 | 6% |
| Sweden | 1 | 6% |
| Austria | 1 | 6% |
| Unknown | 9 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 56% |
| Members of the public | 7 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 22% |
| Student > Ph. D. Student | 5 | 19% |
| Student > Master | 4 | 15% |
| Professor > Associate Professor | 3 | 11% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 37% |
| Computer Science | 2 | 7% |
| Engineering | 2 | 7% |
| Unspecified | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 7 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 July 2022.
All research outputs
#4,679,854
of 25,992,468 outputs
Outputs from Frontiers in Bioinformatics
#1
of 1 outputs
Outputs of similar age
#92,747
of 440,885 outputs
Outputs of similar age from Frontiers in Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one scored the same or higher as 0 of them.
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 440,885 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 78% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them