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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Structural alphabets derived from attractors in conformational space
|
|---|---|
| Published in |
BMC Bioinformatics, February 2010
|
| DOI | 10.1186/1471-2105-11-97 |
| Pubmed ID | |
| Authors |
Alessandro Pandini, Arianna Fornili, Jens Kleinjung |
| Abstract |
The hierarchical and partially redundant nature of protein structures justifies the definition of frequently occurring conformations of short fragments as 'states'. Collections of selected representatives for these states define Structural Alphabets, describing the most typical local conformations within protein structures. These alphabets form a bridge between the string-oriented methods of sequence analysis and the coordinate-oriented methods of protein structure analysis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| United States | 3 | 3% |
| Spain | 2 | 2% |
| Brazil | 1 | 1% |
| Belgium | 1 | 1% |
| Italy | 1 | 1% |
| Japan | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 79 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 35% |
| Student > Ph. D. Student | 26 | 28% |
| Student > Master | 9 | 10% |
| Student > Postgraduate | 3 | 3% |
| Professor > Associate Professor | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 25% |
| Biochemistry, Genetics and Molecular Biology | 17 | 18% |
| Chemistry | 15 | 16% |
| Computer Science | 10 | 11% |
| Physics and Astronomy | 7 | 8% |
| Other | 9 | 10% |
| Unknown | 11 | 12% |
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 10 September 2012.
All research outputs
#18,314,922
of 22,678,224 outputs
Outputs from BMC Bioinformatics
#6,285
of 7,249 outputs
Outputs of similar age
#84,816
of 93,729 outputs
Outputs of similar age from BMC Bioinformatics
#55
of 67 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,249 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 5th percentile – i.e., 5% 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 93,729 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.