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Mendeley readers
Attention Score in Context
| Title |
Bioinformatics analysis of disordered proteins in prokaryotes
|
|---|---|
| Published in |
BMC Bioinformatics, March 2011
|
| DOI | 10.1186/1471-2105-12-66 |
| Pubmed ID | |
| Authors |
Gordana M Pavlović-Lažetić, Nenad S Mitić, Jovana J Kovačević, Zoran Obradović, Saša N Malkov, Miloš V Beljanski |
| Abstract |
A significant number of proteins have been shown to be intrinsically disordered, meaning that they lack a fixed 3 D structure or contain regions that do not posses a well defined 3 D structure. It has also been proven that a protein's disorder content is related to its function. We have performed an exhaustive analysis and comparison of the disorder content of proteins from prokaryotic organisms (i.e., superkingdoms Archaea and Bacteria) with respect to functional categories they belong to, i.e., Clusters of Orthologous Groups of proteins (COGs) and groups of COGs-Cellular processes (Cp), Information storage and processing (Isp), Metabolism (Me) and Poorly characterized (Pc). We also analyzed the disorder content of proteins with respect to various genomic, metabolic and ecological characteristics of the organism they belong to. We used correlations and association rule mining in order to identify the most confident associations between specific modalities of the characteristics considered and disorder content. |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| United Kingdom | 2 | 2% |
| Korea, Republic of | 1 | 1% |
| Italy | 1 | 1% |
| Brazil | 1 | 1% |
| Germany | 1 | 1% |
| Malaysia | 1 | 1% |
| Canada | 1 | 1% |
| Spain | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 73 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 26% |
| Researcher | 20 | 24% |
| Student > Bachelor | 9 | 11% |
| Student > Master | 8 | 9% |
| Professor > Associate Professor | 6 | 7% |
| Other | 12 | 14% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 48% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Chemistry | 5 | 6% |
| Computer Science | 4 | 5% |
| Physics and Astronomy | 2 | 2% |
| Other | 9 | 11% |
| Unknown | 12 | 14% |
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 03 March 2011.
All research outputs
#20,142,242
of 22,647,730 outputs
Outputs from BMC Bioinformatics
#6,808
of 7,234 outputs
Outputs of similar age
#101,989
of 108,463 outputs
Outputs of similar age from BMC Bioinformatics
#31
of 36 outputs
Altmetric has tracked 22,647,730 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 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 1st percentile – i.e., 1% 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 108,463 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.