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A new GIS model for ecologically suitable distributions of medicinal plants

Overview of attention for article published in Chinese Medicine, February 2019
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
A new GIS model for ecologically suitable distributions of medicinal plants
Published in
Chinese Medicine, February 2019
DOI 10.1186/s13020-019-0226-0
Authors

Jie Wu, Xiwen Li, Linfang Huang, Xiangxiao Meng, Haoyu Hu, Lu Luo, Shilin Chen

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Researcher 2 20%
Student > Master 2 20%
Unknown 3 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 30%
Environmental Science 1 10%
Computer Science 1 10%
Veterinary Science and Veterinary Medicine 1 10%
Unknown 4 40%

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 21 February 2019.
All research outputs
#12,701,569
of 14,367,928 outputs
Outputs from Chinese Medicine
#254
of 312 outputs
Outputs of similar age
#224,579
of 263,320 outputs
Outputs of similar age from Chinese Medicine
#1
of 1 outputs
Altmetric has tracked 14,367,928 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 312 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 263,320 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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