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Graded or threshold response of the tet-controlled gene expression: all depends on the concentration of the transactivator

Overview of attention for article published in BMC Biotechnology, January 2013
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  • 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 (53rd percentile)

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1 X user
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3 patents

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8 Dimensions

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Title
Graded or threshold response of the tet-controlled gene expression: all depends on the concentration of the transactivator
Published in
BMC Biotechnology, January 2013
DOI 10.1186/1472-6750-13-5
Pubmed ID
Authors

Niels Heinz, Katharina Hennig, Rainer Loew

Abstract

Currently, the step-wise integration of tet-dependent transactivator and tet-responsive expression unit is considered to be the most promising tool to achieve stable tet-controlled gene expression in cell populations. However, disadvantages of this strategy for integration into primary cells led us to develop an "All-In-One" vector system, enabling simultaneous integration of both components. The effect on tet-controlled gene expression was analyzed for retroviral "All-In-One" vectors expressing the M2-transactivator either under control of a constitutive or a new type of autoregulated promoter.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 11 23%
Student > Bachelor 6 13%
Student > Doctoral Student 4 9%
Other 3 6%
Other 7 15%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 36%
Biochemistry, Genetics and Molecular Biology 15 32%
Medicine and Dentistry 4 9%
Chemical Engineering 1 2%
Unspecified 1 2%
Other 4 9%
Unknown 5 11%
Attention Score in Context

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 30 December 2021.
All research outputs
#6,946,945
of 22,780,165 outputs
Outputs from BMC Biotechnology
#388
of 935 outputs
Outputs of similar age
#76,456
of 279,468 outputs
Outputs of similar age from BMC Biotechnology
#7
of 15 outputs
Altmetric has tracked 22,780,165 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 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 56% 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 279,468 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 15 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 53% of its contemporaries.