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Visualizing post genomics data-sets on customized pathway maps by ProMeTra – aeration-dependent gene expression and metabolism of Corynebacterium glutamicum as an example

Overview of attention for article published in BMC Systems Biology, August 2009
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Mentioned by

q&a
1 Q&A thread

Citations

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60 Dimensions

Readers on

mendeley
112 Mendeley
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5 CiteULike
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1 Connotea
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Title
Visualizing post genomics data-sets on customized pathway maps by ProMeTra – aeration-dependent gene expression and metabolism of Corynebacterium glutamicum as an example
Published in
BMC Systems Biology, August 2009
DOI 10.1186/1752-0509-3-82
Pubmed ID
Authors

Heiko Neuweger, Marcus Persicke, Stefan P Albaum, Thomas Bekel, Michael Dondrup, Andrea T Hüser, Jörn Winnebald, Jessica Schneider, Jörn Kalinowski, Alexander Goesmann

Abstract

The rapid progress of post-genomic analyses, such as transcriptomics, proteomics, and metabolomics has resulted in the generation of large amounts of quantitative data covering and connecting the complete cascade from genotype to phenotype for individual organisms. Various benefits can be achieved when these "Omics" data are integrated, such as the identification of unknown gene functions or the elucidation of regulatory networks of whole organisms. In order to be able to obtain deeper insights in the generated datasets, it is of utmost importance to present the data to the researcher in an intuitive, integrated, and knowledge-based environment. Therefore, various visualization paradigms have been established during the last years. The visualization of "Omics" data using metabolic pathway maps is intuitive and has been applied in various software tools. It has become obvious that the application of web-based and user driven software tools has great potential and benefits from the use of open and standardized formats for the description of pathways.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
United Kingdom 5 4%
Germany 1 <1%
France 1 <1%
Canada 1 <1%
Belgium 1 <1%
Norway 1 <1%
China 1 <1%
Denmark 1 <1%
Other 2 2%
Unknown 92 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 30%
Student > Ph. D. Student 23 21%
Student > Master 14 13%
Professor > Associate Professor 8 7%
Student > Bachelor 7 6%
Other 22 20%
Unknown 4 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 61%
Computer Science 13 12%
Biochemistry, Genetics and Molecular Biology 12 11%
Engineering 3 3%
Arts and Humanities 2 2%
Other 8 7%
Unknown 6 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2011.
All research outputs
#12,846,160
of 22,649,029 outputs
Outputs from BMC Systems Biology
#431
of 1,142 outputs
Outputs of similar age
#78,304
of 97,227 outputs
Outputs of similar age from BMC Systems Biology
#4
of 6 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 60% 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 97,227 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.