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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ConSole: using modularity of Contact maps to locate Solenoid domains in protein structures
|
|---|---|
| Published in |
BMC Bioinformatics, April 2014
|
| DOI | 10.1186/1471-2105-15-119 |
| Pubmed ID | |
| Authors |
Thomas Hrabe, Adam Godzik |
| Abstract |
Periodic proteins, characterized by the presence of multiple repeats of short motifs, form an interesting and seldom-studied group. Due to often extreme divergence in sequence, detection and analysis of such motifs is performed more reliably on the structural level. Yet, few algorithms have been developed for the detection and analysis of structures of periodic proteins. |
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% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Netherlands | 1 | 3% |
| France | 1 | 3% |
| Unknown | 29 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 25% |
| Student > Master | 6 | 19% |
| Student > Ph. D. Student | 6 | 19% |
| Other | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 28% |
| Biochemistry, Genetics and Molecular Biology | 8 | 25% |
| Agricultural and Biological Sciences | 7 | 22% |
| Engineering | 2 | 6% |
| Environmental Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 4 | 13% |
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 06 October 2020.
All research outputs
#6,939,882
of 22,754,104 outputs
Outputs from BMC Bioinformatics
#2,681
of 7,269 outputs
Outputs of similar age
#66,945
of 226,688 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 133 outputs
Altmetric has tracked 22,754,104 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 7,269 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 226,688 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 69% of its contemporaries.
We're also able to compare this research output to 133 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 64% of its contemporaries.