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Kinetics of drug selection systems in mouse embryonic stem cells

Overview of attention for article published in BMC Biotechnology, August 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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2 X users
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1 patent

Citations

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25 Dimensions

Readers on

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120 Mendeley
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Title
Kinetics of drug selection systems in mouse embryonic stem cells
Published in
BMC Biotechnology, August 2013
DOI 10.1186/1472-6750-13-64
Pubmed ID
Authors

Yuhki Nakatake, Setsuko Fujii, Shinji Masui, Toshimi Sugimoto, Satomi Torikai-Nishikawa, Kenjiro Adachi, Hitoshi Niwa

Abstract

Stable expression of transgenes is an important technique to analyze gene function. Various drug resistance genes, such as neo, pac, hph, zeo, bsd, and hisD, have been equally used as selection markers to isolate a transfectant without considering their dose-dependent characters.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
United Kingdom 2 2%
Finland 1 <1%
Iran, Islamic Republic of 1 <1%
Mexico 1 <1%
Unknown 113 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 28%
Student > Ph. D. Student 20 17%
Student > Master 16 13%
Student > Bachelor 13 11%
Professor 8 7%
Other 18 15%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 41%
Biochemistry, Genetics and Molecular Biology 38 32%
Medicine and Dentistry 8 7%
Neuroscience 4 3%
Nursing and Health Professions 1 <1%
Other 5 4%
Unknown 15 13%
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 31 October 2019.
All research outputs
#7,174,980
of 23,881,329 outputs
Outputs from BMC Biotechnology
#392
of 937 outputs
Outputs of similar age
#59,407
of 200,245 outputs
Outputs of similar age from BMC Biotechnology
#7
of 14 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 937 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 58% 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 200,245 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 69% of its contemporaries.
We're also able to compare this research output to 14 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 57% of its contemporaries.