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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel representation of RNA secondary structure based on element-contact graphs
|
|---|---|
| Published in |
BMC Bioinformatics, April 2008
|
| DOI | 10.1186/1471-2105-9-188 |
| Pubmed ID | |
| Authors |
Wenjie Shu, Xiaochen Bo, Zhiqiang Zheng, Shengqi Wang |
| Abstract |
Depending on their specific structures, noncoding RNAs (ncRNAs) play important roles in many biological processes. Interest in developing new topological indices based on RNA graphs has been revived in recent years, as such indices can be used to compare, identify and classify RNAs. Although the topological indices presented before characterize the main topological features of RNA secondary structures, information on RNA structural details is ignored to some degree. Therefore, it is necessity to identify topological features with low degeneracy based on complete and fine-grained RNA graphical representations. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 20% |
| Italy | 1 | 20% |
| United States | 1 | 20% |
| China | 1 | 20% |
| France | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 9% |
| Spain | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 29 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 26% |
| Student > Ph. D. Student | 7 | 21% |
| Student > Master | 4 | 12% |
| Professor | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 50% |
| Mathematics | 3 | 9% |
| Computer Science | 3 | 9% |
| Nursing and Health Professions | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 September 2018.
All research outputs
#12,809,180
of 22,694,633 outputs
Outputs from BMC Bioinformatics
#3,755
of 7,254 outputs
Outputs of similar age
#66,702
of 81,575 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 44 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 81,575 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.