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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, May 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 (69th percentile)

Mentioned by

blogs
1 blog
twitter
59 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
54 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, May 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

Twitter Demographics

The data shown below were collected from the profiles of 59 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 11 20%
Unspecified 7 13%
Student > Bachelor 6 11%
Student > Master 5 9%
Other 9 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 46%
Agricultural and Biological Sciences 12 22%
Unspecified 9 17%
Medicine and Dentistry 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 26 October 2019.
All research outputs
#451,766
of 13,726,669 outputs
Outputs from Cell Stem Cell
#387
of 2,035 outputs
Outputs of similar age
#16,300
of 257,090 outputs
Outputs of similar age from Cell Stem Cell
#16
of 53 outputs
Altmetric has tracked 13,726,669 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.8. This one has done well, scoring higher than 80% 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 257,090 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 53 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 69% of its contemporaries.