↓ Skip to main content

Family-level leaf nitrogen and phosphorus stoichiometry of global terrestrial plants

Overview of attention for article published in Science China Life Sciences, July 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
39 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Family-level leaf nitrogen and phosphorus stoichiometry of global terrestrial plants
Published in
Science China Life Sciences, July 2019
DOI 10.1007/s11427-019-9584-1
Pubmed ID
Authors

Di Tian, Zhengbing Yan, Suhui Ma, Yuehong Ding, Yongkai Luo, Yahan Chen, Enzai Du, Wenxuan Han, Emoke Dalma Kovacs, Haihua Shen, Huifeng Hu, Jens Kattge, Bernhard Schmid, Jingyun Fang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Ph. D. Student 7 18%
Student > Doctoral Student 3 8%
Unspecified 3 8%
Professor 2 5%
Other 6 15%
Unknown 11 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 31%
Environmental Science 4 10%
Unspecified 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Computer Science 1 3%
Other 3 8%
Unknown 14 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 August 2019.
All research outputs
#15,577,567
of 23,153,184 outputs
Outputs from Science China Life Sciences
#487
of 1,016 outputs
Outputs of similar age
#213,351
of 346,848 outputs
Outputs of similar age from Science China Life Sciences
#7
of 21 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,016 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 346,848 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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 61% of its contemporaries.