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The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China

Overview of attention for article published in Scientific Reports, February 2019
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Mentioned by

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1 X user

Citations

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25 Dimensions

Readers on

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17 Mendeley
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Title
The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China
Published in
Scientific Reports, February 2019
DOI 10.1038/s41598-018-37238-7
Pubmed ID
Authors

Luobin Yan, Hua Peng, Shaoyun Zhang, Ruoxi Zhang, Milica Kašanin-Grubin, Kairong Lin, Xinjun Tu

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Bachelor 2 12%
Lecturer 2 12%
Student > Ph. D. Student 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 8 47%
Readers by discipline Count As %
Earth and Planetary Sciences 4 24%
Environmental Science 1 6%
Agricultural and Biological Sciences 1 6%
Business, Management and Accounting 1 6%
Unknown 10 59%
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 17 February 2019.
All research outputs
#18,667,638
of 23,128,387 outputs
Outputs from Scientific Reports
#94,700
of 125,043 outputs
Outputs of similar age
#331,354
of 447,836 outputs
Outputs of similar age from Scientific Reports
#3,147
of 4,030 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 14th percentile – i.e., 14% 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 447,836 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,030 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.