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Attention Score in Context
Title |
Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information
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Published in |
BMC Bioinformatics, June 2007
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DOI | 10.1186/1471-2105-8-201 |
Pubmed ID | |
Authors |
Gianluca Pollastri, Alberto JM Martin, Catherine Mooney, Alessandro Vullo |
Abstract |
Structural properties of proteins such as secondary structure and solvent accessibility contribute to three-dimensional structure prediction, not only in the ab initio case but also when homology information to known structures is available. Structural properties are also routinely used in protein analysis even when homology is available, largely because homology modelling is lower throughput than, say, secondary structure prediction. Nonetheless, predictors of secondary structure and solvent accessibility are virtually always ab initio. |
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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Iran, Islamic Republic of | 1 | 2% |
Spain | 1 | 2% |
United States | 1 | 2% |
Unknown | 54 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 19% |
Student > Ph. D. Student | 9 | 16% |
Student > Master | 8 | 14% |
Student > Bachelor | 7 | 12% |
Lecturer | 5 | 9% |
Other | 10 | 18% |
Unknown | 7 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 18 | 32% |
Computer Science | 13 | 23% |
Biochemistry, Genetics and Molecular Biology | 7 | 12% |
Medicine and Dentistry | 2 | 4% |
Engineering | 2 | 4% |
Other | 5 | 9% |
Unknown | 10 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 April 2015.
All research outputs
#6,926,123
of 22,710,079 outputs
Outputs from BMC Bioinformatics
#2,683
of 7,259 outputs
Outputs of similar age
#23,548
of 70,045 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 46 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 70,045 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 46 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 56% of its contemporaries.