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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DMfold: A Novel Method to Predict RNA Secondary Structure With Pseudoknots Based on Deep Learning and Improved Base Pair Maximization Principle
|
|---|---|
| Published in |
Frontiers in Genetics, March 2019
|
| DOI | 10.3389/fgene.2019.00143 |
| Pubmed ID | |
| Authors |
Linyu Wang, Yuanning Liu, Xiaodan Zhong, Haiming Liu, Chao Lu, Cong Li, Hao Zhang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 29% |
| Researcher | 15 | 23% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 4 | 6% |
| Student > Doctoral Student | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 32% |
| Computer Science | 10 | 15% |
| Agricultural and Biological Sciences | 4 | 6% |
| Chemistry | 3 | 5% |
| Immunology and Microbiology | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 January 2020.
All research outputs
#14,717,488
of 23,577,761 outputs
Outputs from Frontiers in Genetics
#4,120
of 12,603 outputs
Outputs of similar age
#199,342
of 354,979 outputs
Outputs of similar age from Frontiers in Genetics
#166
of 365 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,603 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 63% 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 354,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 365 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.