↓ Skip to main content

Hierarchy of non-glucose sugars in Escherichia coli

Overview of attention for article published in BMC Systems Biology, December 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters
peer_reviews
1 peer review site

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
384 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Hierarchy of non-glucose sugars in Escherichia coli
Published in
BMC Systems Biology, December 2014
DOI 10.1186/s12918-014-0133-z
Pubmed ID
Authors

Guy Aidelberg, Benjamin D Towbin, Daphna Rothschild, Erez Dekel, Anat Bren, Uri Alon

Abstract

Understanding how cells make decisions, and why they make the decisions they make, is of fundamental interest in systems biology. To address this, we study the decisions made by E. coli on which genes to express when presented with two different sugars. It is well-known that glucose, E. coli's preferred carbon source, represses the uptake of other sugars by means of global and gene-specific mechanisms. However, less is known about the utilization of glucose-free sugar mixtures which are found in the natural environment of E. coli and in biotechnology.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Israel 1 <1%
France 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
India 1 <1%
Canada 1 <1%
Denmark 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 371 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 101 26%
Student > Bachelor 79 21%
Researcher 58 15%
Student > Master 45 12%
Student > Doctoral Student 19 5%
Other 38 10%
Unknown 44 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 119 31%
Agricultural and Biological Sciences 109 28%
Engineering 21 5%
Physics and Astronomy 19 5%
Chemistry 13 3%
Other 46 12%
Unknown 57 15%

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 26 September 2015.
All research outputs
#2,622,109
of 6,409,234 outputs
Outputs from BMC Systems Biology
#322
of 777 outputs
Outputs of similar age
#77,128
of 160,684 outputs
Outputs of similar age from BMC Systems Biology
#10
of 13 outputs
Altmetric has tracked 6,409,234 research outputs across all sources so far. This one has received more attention than most of these and is in the 56th percentile.
So far Altmetric has tracked 777 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 53% 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 160,684 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.