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X Demographics
Mendeley readers
Attention Score in Context
Title |
Membrane protein orientation and refinement using a knowledge-based statistical potential
|
---|---|
Published in |
BMC Bioinformatics, September 2013
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DOI | 10.1186/1471-2105-14-276 |
Pubmed ID | |
Authors |
Timothy Nugent, David T Jones |
Abstract |
Recent increases in the number of deposited membrane protein crystal structures necessitate the use of automated computational tools to position them within the lipid bilayer. Identifying the correct orientation allows us to study the complex relationship between sequence, structure and the lipid environment, which is otherwise challenging to investigate using experimental techniques due to the difficulty in crystallising membrane proteins embedded within intact membranes. |
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 States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 2% |
Chile | 1 | <1% |
Czechia | 1 | <1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Unknown | 102 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 30% |
Researcher | 16 | 15% |
Student > Master | 14 | 13% |
Student > Bachelor | 10 | 9% |
Student > Doctoral Student | 6 | 6% |
Other | 11 | 10% |
Unknown | 19 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 33 | 31% |
Biochemistry, Genetics and Molecular Biology | 22 | 20% |
Chemistry | 14 | 13% |
Computer Science | 5 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
Other | 10 | 9% |
Unknown | 20 | 19% |
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 19 September 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from BMC Bioinformatics
#5,367
of 7,261 outputs
Outputs of similar age
#123,826
of 201,958 outputs
Outputs of similar age from BMC Bioinformatics
#66
of 99 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,261 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 18th percentile – i.e., 18% 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 201,958 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.