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Single-Cell DNA Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics

Overview of attention for article published in Cell Reports, February 2015
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
40 X users
patent
2 patents
weibo
3 weibo users
facebook
1 Facebook page
wikipedia
4 Wikipedia pages
googleplus
1 Google+ user
f1000
1 research highlight platform

Citations

dimensions_citation
372 Dimensions

Readers on

mendeley
717 Mendeley
citeulike
4 CiteULike
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Title
Single-Cell DNA Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics
Published in
Cell Reports, February 2015
DOI 10.1016/j.celrep.2015.02.001
Pubmed ID
Authors

Matthias Farlik, Nathan C. Sheffield, Angelo Nuzzo, Paul Datlinger, Andreas Schönegger, Johanna Klughammer, Christoph Bock

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 717 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
United Kingdom 5 <1%
Austria 2 <1%
Spain 2 <1%
Taiwan 2 <1%
Korea, Republic of 1 <1%
Sweden 1 <1%
Canada 1 <1%
Germany 1 <1%
Other 5 <1%
Unknown 689 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 190 26%
Researcher 163 23%
Student > Master 67 9%
Student > Bachelor 47 7%
Student > Doctoral Student 38 5%
Other 105 15%
Unknown 107 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 240 33%
Biochemistry, Genetics and Molecular Biology 208 29%
Medicine and Dentistry 34 5%
Computer Science 32 4%
Engineering 16 2%
Other 64 9%
Unknown 123 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 12 October 2023.
All research outputs
#928,221
of 25,374,647 outputs
Outputs from Cell Reports
#2,154
of 12,956 outputs
Outputs of similar age
#11,469
of 270,174 outputs
Outputs of similar age from Cell Reports
#26
of 200 outputs
Altmetric has tracked 25,374,647 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 12,956 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has done well, scoring higher than 83% 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 270,174 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 95% of its contemporaries.
We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.