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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Wormpath: searching for molecular interaction networks in Caenorhabditis elegans
|
|---|---|
| Published in |
Source Code for Biology and Medicine, April 2015
|
| DOI | 10.1186/s13029-015-0034-6 |
| Pubmed ID | |
| Authors |
Peter Frommolt, Björn Schumacher |
| Abstract |
High-throughput transcriptional profiling using Next-Generation Sequencing (RNA-Seq) or microarray technology have become standard tools in molecular biology. Successful investigations of gene regulatory mechanisms from these data typically employ mathematical models of biological networks. We have developed Wormpath, a software for molecular network discovery which operates on the genetic and physical interaction data of the Wormbase, a comprehensive resource of molecular data on Caenorhabditis elegans. We use Wormpath to show that the insulin/insulin-like growth factor signalling (IIS) pathway responds to UV-induced DNA damage during development. Our software provides highly facilitated access to C. elegans interaction data and is capable of identifying essential molecular networks within a list of differentially expressed genes. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Professor | 3 | 16% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Master | 2 | 11% |
| Lecturer | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Agricultural and Biological Sciences | 3 | 16% |
| Medicine and Dentistry | 3 | 16% |
| Mathematics | 2 | 11% |
| Chemistry | 2 | 11% |
| Other | 3 | 16% |
| Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 April 2015.
All research outputs
#13,939,342
of 22,797,621 outputs
Outputs from Source Code for Biology and Medicine
#68
of 127 outputs
Outputs of similar age
#134,598
of 263,845 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 4 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 42nd percentile – i.e., 42% 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 263,845 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them