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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 69 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 28% |
| United Kingdom | 8 | 12% |
| Australia | 7 | 10% |
| China | 3 | 4% |
| Denmark | 2 | 3% |
| Italy | 2 | 3% |
| Spain | 2 | 3% |
| India | 1 | 1% |
| Austria | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 21 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 35 | 51% |
| Members of the public | 33 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 354 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 354 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 21% |
| Researcher | 51 | 14% |
| Student > Master | 37 | 10% |
| Student > Bachelor | 26 | 7% |
| Student > Doctoral Student | 25 | 7% |
| Other | 54 | 15% |
| Unknown | 88 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 120 | 34% |
| Agricultural and Biological Sciences | 59 | 17% |
| Computer Science | 21 | 6% |
| Medicine and Dentistry | 12 | 3% |
| Engineering | 11 | 3% |
| Other | 32 | 9% |
| Unknown | 99 | 28% |
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 20 March 2022.
All research outputs
#953,969
of 25,639,676 outputs
Outputs from Nature Communications
#15,648
of 57,903 outputs
Outputs of similar age
#22,388
of 448,557 outputs
Outputs of similar age from Nature Communications
#403
of 1,275 outputs
Altmetric has tracked 25,639,676 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 57,903 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. 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 448,557 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 1,275 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 68% of its contemporaries.