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Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

Overview of attention for article published in Nature Communications, January 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 (94th percentile)

Mentioned by

twitter
69 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
149 Mendeley
Title
Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity
Published in
Nature Communications, January 2019
DOI 10.1038/s41467-018-08205-7
Pubmed ID
Authors

Longqi Liu, Chuanyu Liu, Andrés Quintero, Liang Wu, Yue Yuan, Mingyue Wang, Mengnan Cheng, Lizhi Leng, Liqin Xu, Guoyi Dong, Rui Li, Yang Liu, Xiaoyu Wei, Jiangshan Xu, Xiaowei Chen, Haorong Lu, Dongsheng Chen, Quanlei Wang, Qing Zhou, Xinxin Lin, Guibo Li, Shiping Liu, Qi Wang, Hongru Wang, J. Lynn Fink, Zhengliang Gao, Xin Liu, Yong Hou, Shida Zhu, Huanming Yang, Yunming Ye, Ge Lin, Fang Chen, Carl Herrmann, Roland Eils, Zhouchun Shang, Xun Xu

Twitter Demographics

The data shown below were collected from the profiles of 69 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 24%
Unspecified 26 17%
Researcher 24 16%
Student > Master 16 11%
Student > Bachelor 14 9%
Other 33 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 65 44%
Agricultural and Biological Sciences 37 25%
Unspecified 30 20%
Computer Science 4 3%
Medicine and Dentistry 3 2%
Other 10 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 13 June 2019.
All research outputs
#408,844
of 13,500,585 outputs
Outputs from Nature Communications
#6,833
of 24,199 outputs
Outputs of similar age
#15,476
of 290,747 outputs
Outputs of similar age from Nature Communications
#1
of 1 outputs
Altmetric has tracked 13,500,585 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 24,199 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.3. This one has gotten more attention than average, scoring higher than 71% 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 290,747 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 94% 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