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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 (95th percentile)

Mentioned by

twitter
71 tweeters
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
230 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 71 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 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 230 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 24%
Researcher 34 15%
Student > Bachelor 25 11%
Student > Master 22 10%
Student > Doctoral Student 16 7%
Other 39 17%
Unknown 38 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 101 44%
Agricultural and Biological Sciences 48 21%
Computer Science 9 4%
Medicine and Dentistry 7 3%
Engineering 6 3%
Other 16 7%
Unknown 43 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 01 January 2020.
All research outputs
#464,682
of 15,054,681 outputs
Outputs from Nature Communications
#7,852
of 28,276 outputs
Outputs of similar age
#16,264
of 328,476 outputs
Outputs of similar age from Nature Communications
#1
of 1 outputs
Altmetric has tracked 15,054,681 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 28,276 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.4. This one has gotten more attention than average, scoring higher than 72% 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 328,476 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 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