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Network analysis of the transcriptional pattern of young and old cells of Escherichia coli during lag phase

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

patent
1 patent

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
88 Mendeley
citeulike
4 CiteULike
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Title
Network analysis of the transcriptional pattern of young and old cells of Escherichia coli during lag phase
Published in
BMC Systems Biology, November 2009
DOI 10.1186/1752-0509-3-108
Pubmed ID
Authors

Carmen Pin, Matthew D Rolfe, Marina Muñoz-Cuevas, Jay CD Hinton, Michael W Peck, Nicholas J Walton, József Baranyi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Brazil 1 1%
Netherlands 1 1%
Estonia 1 1%
United Kingdom 1 1%
Unknown 81 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 27%
Researcher 22 25%
Professor > Associate Professor 10 11%
Student > Postgraduate 4 5%
Student > Doctoral Student 4 5%
Other 14 16%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 47%
Biochemistry, Genetics and Molecular Biology 14 16%
Engineering 6 7%
Medicine and Dentistry 5 6%
Immunology and Microbiology 3 3%
Other 10 11%
Unknown 9 10%
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 04 June 2020.
All research outputs
#7,476,657
of 22,856,968 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#28,451
of 79,239 outputs
Outputs of similar age from BMC Systems Biology
#3
of 5 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 64% 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 79,239 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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.