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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3258-7 |
| Pubmed ID | |
| Authors |
Weizhong Lu, Ye Tang, Hongjie Wu, Hongmei Huang, Qiming Fu, Jing Qiu, Haiou Li |
X Demographics
The data shown below were collected from the profiles of 23 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 | 6 | 26% |
| France | 1 | 4% |
| Canada | 1 | 4% |
| Nigeria | 1 | 4% |
| Australia | 1 | 4% |
| India | 1 | 4% |
| Sri Lanka | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 10 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 91% |
| Scientists | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Researcher | 3 | 13% |
| Professor | 3 | 13% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 26% |
| Engineering | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 8 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 04 January 2020.
All research outputs
#2,928,401
of 24,290,096 outputs
Outputs from BMC Bioinformatics
#915
of 7,511 outputs
Outputs of similar age
#68,238
of 465,228 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 211 outputs
Altmetric has tracked 24,290,096 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,511 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 87% 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 465,228 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 85% of its contemporaries.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.