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Human Embryonic Stem Cells Derived by Somatic Cell Nuclear Transfer

Overview of attention for article published in Cell, May 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)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Readers on

mendeley
1607 Mendeley
citeulike
7 CiteULike
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Title
Human Embryonic Stem Cells Derived by Somatic Cell Nuclear Transfer
Published in
Cell, May 2013
DOI 10.1016/j.cell.2013.05.006
Pubmed ID
Authors

Masahito Tachibana, Paula Amato, Michelle Sparman, Nuria Marti Gutierrez, Rebecca Tippner-Hedges, Hong Ma, Eunju Kang, Alimujiang Fulati, Hyo-Sang Lee, Hathaitip Sritanaudomchai, Keith Masterson, Janine Larson, Deborah Eaton, Karen Sadler-Fredd, David Battaglia, David Lee, Diana Wu, Jeffrey Jensen, Phillip Patton, Sumita Gokhale, Richard L. Stouffer, Don Wolf, Shoukhrat Mitalipov

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 284 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,607 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 35 2%
United Kingdom 17 1%
Germany 11 <1%
Spain 10 <1%
Japan 9 <1%
France 5 <1%
Italy 3 <1%
Russia 3 <1%
Sweden 2 <1%
Other 24 1%
Unknown 1488 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 378 24%
Researcher 273 17%
Student > Bachelor 266 17%
Student > Master 197 12%
Student > Doctoral Student 71 4%
Other 242 15%
Unknown 180 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 718 45%
Biochemistry, Genetics and Molecular Biology 293 18%
Medicine and Dentistry 157 10%
Engineering 50 3%
Neuroscience 41 3%
Other 138 9%
Unknown 210 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1264. 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 17 September 2024.
All research outputs
#11,593
of 26,742,223 outputs
Outputs from Cell
#94
of 17,636 outputs
Outputs of similar age
#36
of 210,143 outputs
Outputs of similar age from Cell
#2
of 129 outputs
Altmetric has tracked 26,742,223 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 17,636 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.1. This one has done particularly well, scoring higher than 99% 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 210,143 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 129 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.