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Mendeley readers
Attention Score in Context
Title |
Harnessing naturally randomized transcription to infer regulatory relationships among genes
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Published in |
Genome Biology, October 2007
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DOI | 10.1186/gb-2007-8-10-r219 |
Pubmed ID | |
Authors |
Lin S Chen, Frank Emmert-Streib, John D Storey |
Abstract |
We develop an approach utilizing randomized genotypes to rigorously infer causal regulatory relationships among genes at the transcriptional level, based on experiments in which genotyping and expression profiling are performed. This approach can be used to build transcriptional regulatory networks and to identify putative regulators of genes. We apply the method to an experiment in yeast, in which genes known to be in the same processes and functions are recovered in the resulting transcriptional regulatory network. |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 7% |
United Kingdom | 2 | 1% |
Brazil | 1 | <1% |
Mexico | 1 | <1% |
Finland | 1 | <1% |
Japan | 1 | <1% |
China | 1 | <1% |
Unknown | 118 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 28% |
Researcher | 37 | 27% |
Professor > Associate Professor | 15 | 11% |
Student > Master | 11 | 8% |
Professor | 10 | 7% |
Other | 16 | 12% |
Unknown | 8 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 60 | 44% |
Biochemistry, Genetics and Molecular Biology | 19 | 14% |
Computer Science | 16 | 12% |
Mathematics | 12 | 9% |
Medicine and Dentistry | 7 | 5% |
Other | 9 | 7% |
Unknown | 12 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 07 May 2015.
All research outputs
#6,569,736
of 25,374,917 outputs
Outputs from Genome Biology
#3,126
of 4,467 outputs
Outputs of similar age
#23,995
of 83,328 outputs
Outputs of similar age from Genome Biology
#19
of 48 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th 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 29th percentile – i.e., 29% 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 83,328 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 71% of its contemporaries.
We're also able to compare this research output to 48 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 60% of its contemporaries.