| Title |
OrthoClust: an orthology-based network framework for clustering data across multiple species
|
|---|---|
| Published in |
Genome Biology, August 2014
|
| DOI | 10.1186/gb-2014-15-8-r100 |
| Pubmed ID | |
| Authors |
Koon-Kiu Yan, Daifeng Wang, Joel Rozowsky, Henry Zheng, Chao Cheng, Mark Gerstein |
| Abstract |
Increasingly, high-dimensional genomics data are becoming available for many organisms.Here, we develop OrthoClust for simultaneously clustering data across multiple species. OrthoClust is a computational framework that integrates the co-association networks of individual species by utilizing the orthology relationships of genes between species. It outputs optimized modules that are fundamentally cross-species, which can either be conserved or species-specific. We demonstrate the application of OrthoClust using the RNA-Seq expression profiles of Caenorhabditis elegans and Drosophila melanogaster from the modENCODE consortium. A potential application of cross-species modules is to infer putative analogous functions of uncharacterized elements like non-coding RNAs based on guilt-by-association. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 7 | 29% |
| United Kingdom | 3 | 13% |
| Spain | 1 | 4% |
| Cameroon | 1 | 4% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| France | 1 | 4% |
| Unknown | 9 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 50% |
| Members of the public | 11 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 5% |
| Germany | 2 | 1% |
| Japan | 2 | 1% |
| Brazil | 2 | 1% |
| Norway | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Turkey | 1 | <1% |
| Netherlands | 1 | <1% |
| Australia | 1 | <1% |
| Other | 6 | 4% |
| Unknown | 128 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 44 | 29% |
| Student > Ph. D. Student | 38 | 25% |
| Student > Master | 14 | 9% |
| Professor > Associate Professor | 11 | 7% |
| Student > Bachelor | 8 | 5% |
| Other | 24 | 16% |
| Unknown | 13 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 84 | 55% |
| Biochemistry, Genetics and Molecular Biology | 24 | 16% |
| Computer Science | 12 | 8% |
| Mathematics | 3 | 2% |
| Engineering | 3 | 2% |
| Other | 9 | 6% |
| Unknown | 17 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 11 April 2018.
All research outputs
#1,505,239
of 25,711,518 outputs
Outputs from Genome Biology
#1,191
of 4,505 outputs
Outputs of similar age
#15,100
of 248,423 outputs
Outputs of similar age from Genome Biology
#11
of 101 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 73% 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 248,423 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.