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Generation of tooth-like structures from integration-free human urine induced pluripotent stem cells

Overview of attention for article published in Cell Regeneration, January 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
14 news outlets
blogs
9 blogs
twitter
67 tweeters
facebook
5 Facebook pages
wikipedia
1 Wikipedia page
googleplus
3 Google+ users
video
1 video uploader

Readers on

mendeley
98 Mendeley
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Title
Generation of tooth-like structures from integration-free human urine induced pluripotent stem cells
Published in
Cell Regeneration, January 2013
DOI 10.1186/2045-9769-2-6
Pubmed ID
Authors

Jinglei Cai, Yanmei Zhang, Pengfei Liu, Shubin Chen, Xuan Wu, Yuhua Sun, Ang Li, Ke Huang, Rongping Luo, Lihui Wang, Ying Liu, Ting Zhou, Shicheng Wei, Guangjin Pan, Duanqing Pei

Abstract

Tooth is vital not only for a good smile, but also good health. Yet, we lose tooth regularly due to accidents or diseases. An ideal solution to this problem is to regenerate tooth with patients' own cells. Here we describe the generation of tooth-like structures from integration-free human urine induced pluripotent stem cells (ifhU-iPSCs).

Twitter Demographics

The data shown below were collected from the profiles of 67 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Mexico 1 1%
United States 1 1%
Colombia 1 1%
Unknown 94 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 14%
Student > Ph. D. Student 14 14%
Researcher 14 14%
Student > Master 10 10%
Student > Postgraduate 8 8%
Other 26 27%
Unknown 12 12%
Readers by discipline Count As %
Medicine and Dentistry 37 38%
Agricultural and Biological Sciences 24 24%
Biochemistry, Genetics and Molecular Biology 14 14%
Materials Science 5 5%
Engineering 2 2%
Other 3 3%
Unknown 13 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 231. 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 02 October 2019.
All research outputs
#72,567
of 15,488,719 outputs
Outputs from Cell Regeneration
#1
of 58 outputs
Outputs of similar age
#650
of 159,671 outputs
Outputs of similar age from Cell Regeneration
#1
of 1 outputs
Altmetric has tracked 15,488,719 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 159,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them