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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ClusCo: clustering and comparison of protein models
|
|---|---|
| Published in |
BMC Bioinformatics, February 2013
|
| DOI | 10.1186/1471-2105-14-62 |
| Pubmed ID | |
| Authors |
Michal Jamroz, Andrzej Kolinski |
| Abstract |
The development, optimization and validation of protein modeling methods require efficient tools for structural comparison. Frequently, a large number of models need to be compared with the target native structure. The main reason for the development of Clusco software was to create a high-throughput tool for all-versus-all comparison, because calculating similarity matrix is the one of the bottlenecks in the protein modeling pipeline. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 50% |
| Japan | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 % |
|---|---|---|
| United States | 3 | 5% |
| Germany | 2 | 3% |
| Poland | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 52 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 27% |
| Researcher | 15 | 25% |
| Student > Master | 7 | 12% |
| Student > Bachelor | 6 | 10% |
| Professor > Associate Professor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 36% |
| Biochemistry, Genetics and Molecular Biology | 13 | 22% |
| Chemistry | 10 | 17% |
| Computer Science | 5 | 8% |
| Engineering | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 6 | 10% |
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 27 February 2013.
All research outputs
#17,679,313
of 22,696,971 outputs
Outputs from BMC Bioinformatics
#5,914
of 7,254 outputs
Outputs of similar age
#140,572
of 192,954 outputs
Outputs of similar age from BMC Bioinformatics
#116
of 140 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 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 13th percentile – i.e., 13% 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 192,954 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.