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Modeling the Pathological Long-Range Regulatory Effects of Human Structural Variation with Patient-Specific hiPSCs

Overview of attention for article published in Cell Stem Cell, April 2019
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
2 blogs
twitter
56 X users
facebook
1 Facebook page

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
143 Mendeley
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Title
Modeling the Pathological Long-Range Regulatory Effects of Human Structural Variation with Patient-Specific hiPSCs
Published in
Cell Stem Cell, April 2019
DOI 10.1016/j.stem.2019.03.004
Pubmed ID
Authors

Magdalena Laugsch, Michaela Bartusel, Rizwan Rehimi, Hafiza Alirzayeva, Agathi Karaolidou, Giuliano Crispatzu, Peter Zentis, Milos Nikolic, Tore Bleckwehl, Petros Kolovos, Wilfred F J van Ijcken, Tomo Šarić, Katrin Koehler, Peter Frommolt, Katherine Lachlan, Julia Baptista, Alvaro Rada-Iglesias

X Demographics

X Demographics

The data shown below were collected from the profiles of 56 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 18%
Researcher 26 18%
Student > Bachelor 15 10%
Student > Master 13 9%
Student > Doctoral Student 5 3%
Other 17 12%
Unknown 41 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 58 41%
Agricultural and Biological Sciences 22 15%
Medicine and Dentistry 8 6%
Neuroscience 4 3%
Nursing and Health Professions 2 1%
Other 6 4%
Unknown 43 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 August 2021.
All research outputs
#1,024,490
of 25,385,509 outputs
Outputs from Cell Stem Cell
#694
of 2,823 outputs
Outputs of similar age
#23,635
of 366,654 outputs
Outputs of similar age from Cell Stem Cell
#19
of 58 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.5. This one has done well, scoring higher than 75% 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 366,654 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 93% of its contemporaries.
We're also able to compare this research output to 58 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 67% of its contemporaries.