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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predict impact of single amino acid change upon protein structure
|
|---|---|
| Published in |
BMC Genomics, June 2012
|
| DOI | 10.1186/1471-2164-13-s4-s4 |
| Pubmed ID | |
| Authors |
Christian Schaefer, Burkhard Rost |
| Abstract |
Amino acid point mutations (nsSNPs) may change protein structure and function. However, no method directly predicts the impact of mutations on structure. Here, we compare pairs of pentamers (five consecutive residues) that locally change protein three-dimensional structure (3D, RMSD>0.4Å) to those that do not alter structure (RMSD<0.2Å). Mutations that alter structure locally can be distinguished from those that do not through a machine-learning (logistic regression) method. |
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 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| United States | 2 | 1% |
| Korea, Republic of | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Romania | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 171 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 18% |
| Student > Bachelor | 32 | 18% |
| Student > Master | 31 | 17% |
| Researcher | 26 | 14% |
| Other | 9 | 5% |
| Other | 25 | 14% |
| Unknown | 26 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 62 | 34% |
| Agricultural and Biological Sciences | 44 | 24% |
| Chemistry | 14 | 8% |
| Medicine and Dentistry | 7 | 4% |
| Computer Science | 5 | 3% |
| Other | 19 | 10% |
| Unknown | 30 | 17% |
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 08 November 2012.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#138,998
of 177,865 outputs
Outputs of similar age from BMC Genomics
#112
of 159 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% 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 177,865 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.