Title |
Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming
|
---|---|
Published in |
Nature Communications, September 2020
|
DOI | 10.1038/s41467-020-18706-z |
Pubmed ID | |
Authors |
Xue Guo, Qun Gao, Mengting Yuan, Gangsheng Wang, Xishu Zhou, Jiajie Feng, Zhou Shi, Lauren Hale, Linwei Wu, Aifen Zhou, Renmao Tian, Feifei Liu, Bo Wu, Lijun Chen, Chang Gyo Jung, Shuli Niu, Dejun Li, Xia Xu, Lifen Jiang, Arthur Escalas, Liyou Wu, Zhili He, Joy D. Van Nostrand, Daliang Ning, Xueduan Liu, Yunfeng Yang, Edward. A. G. Schuur, Konstantinos T. Konstantinidis, James R. Cole, C. Ryan Penton, Yiqi Luo, James M. Tiedje, Jizhong Zhou |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 1 | 14% |
United States | 1 | 14% |
Unknown | 5 | 71% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 153 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 29% |
Researcher | 26 | 17% |
Student > Master | 10 | 7% |
Student > Bachelor | 5 | 3% |
Student > Doctoral Student | 4 | 3% |
Other | 20 | 13% |
Unknown | 44 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 38 | 25% |
Environmental Science | 28 | 18% |
Unspecified | 15 | 10% |
Biochemistry, Genetics and Molecular Biology | 8 | 5% |
Earth and Planetary Sciences | 4 | 3% |
Other | 7 | 5% |
Unknown | 53 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 November 2020.
All research outputs
#1,016,096
of 25,153,613 outputs
Outputs from Nature Communications
#16,399
of 55,550 outputs
Outputs of similar age
#27,868
of 419,520 outputs
Outputs of similar age from Nature Communications
#538
of 1,593 outputs
Altmetric has tracked 25,153,613 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 55,550 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one has gotten more attention than average, scoring higher than 70% 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 419,520 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 1,593 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 66% of its contemporaries.