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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RedeR: R/Bioconductor package for representing modular structures, nested networks and multiple levels of hierarchical associations
|
|---|---|
| Published in |
Genome Biology, April 2012
|
| DOI | 10.1186/gb-2012-13-4-r29 |
| Pubmed ID | |
| Authors |
Mauro AA Castro, Xin Wang, Michael NC Fletcher, Kerstin B Meyer, Florian Markowetz |
| Abstract |
Visualization and analysis of molecular networks are both central to systems biology. However, there still exists a large technological gap between them, especially when assessing multiple network levels or hierarchies. Here we present RedeR, an R/Bioconductor package combined with a Java core engine for representing modular networks. The functionality of RedeR is demonstrated in two different scenarios: hierarchical and modular organization in gene co-expression networks and nested structures in time-course gene expression subnetworks. Our results demonstrate RedeR as a new framework to deal with the multiple network levels that are inherent to complex biological systems. RedeR is available from http://bioconductor.org/packages/release/bioc/html/RedeR.html. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| United Kingdom | 2 | 25% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 4% |
| Germany | 4 | 2% |
| Brazil | 4 | 2% |
| France | 2 | 1% |
| Colombia | 2 | 1% |
| Luxembourg | 2 | 1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 149 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 23% |
| Student > Ph. D. Student | 37 | 21% |
| Student > Master | 27 | 15% |
| Professor | 14 | 8% |
| Student > Bachelor | 12 | 7% |
| Other | 35 | 20% |
| Unknown | 11 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 40% |
| Biochemistry, Genetics and Molecular Biology | 30 | 17% |
| Computer Science | 17 | 10% |
| Medicine and Dentistry | 12 | 7% |
| Engineering | 5 | 3% |
| Other | 17 | 10% |
| Unknown | 24 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 November 2018.
All research outputs
#6,930,204
of 25,374,647 outputs
Outputs from Genome Biology
#3,196
of 4,467 outputs
Outputs of similar age
#45,748
of 175,433 outputs
Outputs of similar age from Genome Biology
#25
of 40 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 28th percentile – i.e., 28% 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 175,433 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 73% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.