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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% Accuracy
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, July 2020
|
| DOI | 10.3389/fbioe.2020.00808 |
| Pubmed ID | |
| Authors |
Keshav Aditya R. Premkumar, Ramit Bharanikumar, Ashok Palaniappan |
X Demographics
The data shown below were collected from the profiles of 25 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 | 7 | 28% |
| Switzerland | 2 | 8% |
| South Africa | 1 | 4% |
| United Kingdom | 1 | 4% |
| India | 1 | 4% |
| Spain | 1 | 4% |
| Unknown | 12 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 88% |
| Scientists | 3 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 14% |
| Student > Ph. D. Student | 3 | 11% |
| Other | 2 | 7% |
| Student > Master | 2 | 7% |
| Professor | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 11 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Computer Science | 4 | 14% |
| Immunology and Microbiology | 2 | 7% |
| Environmental Science | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 12 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 12 January 2024.
All research outputs
#1,405,433
of 25,698,912 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#132
of 8,644 outputs
Outputs of similar age
#39,575
of 430,861 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#12
of 481 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,644 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 430,861 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 90% of its contemporaries.
We're also able to compare this research output to 481 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 97% of its contemporaries.