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Establishment of automated culture system for murine induced pluripotent stem cells

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Establishment of automated culture system for murine induced pluripotent stem cells
Published in
BMC Biotechnology, January 2012
DOI 10.1186/1472-6750-12-81
Pubmed ID
Authors

Hiroyuki Koike, Koji Kubota, Keisuke Sekine, Takanori Takebe, Rie Ouchi, Yun-Wen Zheng, Yasuharu Ueno, Naoki Tanigawa, Hideki Taniguchi

Abstract

Induced pluripotent stem (iPS) cells can differentiate into any cell type, which makes them an attractive resource in fields such as regenerative medicine, drug screening, or in vitro toxicology. The most important prerequisite for these industrial applications is stable supply and uniform quality of iPS cells. Variation in quality largely results from differences in handling skills between operators in laboratories. To minimize these differences, establishment of an automated iPS cell culture system is necessary.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Germany 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Researcher 7 22%
Student > Master 5 16%
Other 3 9%
Professor 2 6%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 47%
Biochemistry, Genetics and Molecular Biology 4 13%
Engineering 3 9%
Medicine and Dentistry 3 9%
Immunology and Microbiology 2 6%
Other 2 6%
Unknown 3 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 December 2014.
All research outputs
#1,406,090
of 12,373,386 outputs
Outputs from BMC Biotechnology
#95
of 695 outputs
Outputs of similar age
#15,898
of 138,222 outputs
Outputs of similar age from BMC Biotechnology
#2
of 6 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 695 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 86% 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 138,222 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.