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Regulatory interactions for iron homeostasis in Aspergillus fumigatus inferred by a Systems Biology approach

Overview of attention for article published in BMC Systems Biology, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
46 Mendeley
citeulike
1 CiteULike
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Title
Regulatory interactions for iron homeostasis in Aspergillus fumigatus inferred by a Systems Biology approach
Published in
BMC Systems Biology, January 2012
DOI 10.1186/1752-0509-6-6
Pubmed ID
Authors

Jörg Linde, Peter Hortschansky, Eugen Fazius, Axel A Brakhage, Reinhard Guthke, Hubertus Haas

Abstract

In System Biology, iterations of wet-lab experiments followed by modelling approaches and model-inspired experiments describe a cyclic workflow. This approach is especially useful for the inference of gene regulatory networks based on high-throughput gene expression data. Experiments can verify or falsify the predicted interactions allowing further refinement of the network model. Aspergillus fumigatus is a major human fungal pathogen. One important virulence trait is its ability to gain sufficient amounts of iron during infection process. Even though some regulatory interactions are known, we are still far from a complete understanding of the way iron homeostasis is regulated.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 2%
Germany 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Ph. D. Student 8 17%
Student > Doctoral Student 5 11%
Student > Bachelor 5 11%
Student > Master 3 7%
Other 9 20%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 37%
Biochemistry, Genetics and Molecular Biology 13 28%
Computer Science 4 9%
Engineering 2 4%
Social Sciences 1 2%
Other 2 4%
Unknown 7 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 May 2020.
All research outputs
#5,586,017
of 18,414,344 outputs
Outputs from BMC Systems Biology
#260
of 1,121 outputs
Outputs of similar age
#62,643
of 229,276 outputs
Outputs of similar age from BMC Systems Biology
#15
of 40 outputs
Altmetric has tracked 18,414,344 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,121 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 75% 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 229,276 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 40 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 62% of its contemporaries.