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Mendeley readers
Attention Score in Context
| Title |
Impact of residue accessible surface area on the prediction of protein secondary structures
|
|---|---|
| Published in |
BMC Bioinformatics, August 2008
|
| DOI | 10.1186/1471-2105-9-357 |
| Pubmed ID | |
| Authors |
Amir Momen-Roknabadi, Mehdi Sadeghi, Hamid Pezeshk, Sayed-Amir Marashi |
| Abstract |
The problem of accurate prediction of protein secondary structure continues to be one of the challenging problems in Bioinformatics. It has been previously suggested that amino acid relative solvent accessibility (RSA) might be an effective factor for increasing the accuracy of protein secondary structure prediction. Previous studies have either used a single constant threshold to classify residues into discrete classes (buries vs. exposed), or used the real-value predicted RSAs in their prediction method. |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| South Africa | 1 | 2% |
| Finland | 1 | 2% |
| India | 1 | 2% |
| United Kingdom | 1 | 2% |
| Iran, Islamic Republic of | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 52 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 25% |
| Student > Master | 13 | 22% |
| Student > Bachelor | 8 | 14% |
| Researcher | 7 | 12% |
| Student > Doctoral Student | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 27% |
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Chemistry | 10 | 17% |
| Computer Science | 5 | 8% |
| Chemical Engineering | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 12 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 March 2021.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from BMC Bioinformatics
#3,021
of 7,279 outputs
Outputs of similar age
#30,776
of 85,137 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 38 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 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 50% 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 85,137 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.