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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
DARS-RNP and QUASI-RNP: New statistical potentials for protein-RNA docking
|
|---|---|
| Published in |
BMC Bioinformatics, August 2011
|
| DOI | 10.1186/1471-2105-12-348 |
| Pubmed ID | |
| Authors |
Irina Tuszynska, Janusz M Bujnicki |
| Abstract |
Protein-RNA interactions play fundamental roles in many biological processes. Understanding the molecular mechanism of protein-RNA recognition and formation of protein-RNA complexes is a major challenge in structural biology. Unfortunately, the experimental determination of protein-RNA complexes is tedious and difficult, both by X-ray crystallography and NMR. For many interacting proteins and RNAs the individual structures are available, enabling computational prediction of complex structures by computational docking. However, methods for protein-RNA docking remain scarce, in particular in comparison to the numerous methods for protein-protein docking. |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 80 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 31% |
| Researcher | 17 | 20% |
| Student > Master | 8 | 9% |
| Professor > Associate Professor | 7 | 8% |
| Student > Postgraduate | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 13 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 34% |
| Biochemistry, Genetics and Molecular Biology | 19 | 22% |
| Computer Science | 9 | 10% |
| Chemistry | 9 | 10% |
| Engineering | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 12 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 November 2012.
All research outputs
#17,645,074
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#5,909
of 7,234 outputs
Outputs of similar age
#99,851
of 123,300 outputs
Outputs of similar age from BMC Bioinformatics
#61
of 71 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 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 13th percentile – i.e., 13% 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 123,300 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.