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Autumn leaf phenology: discrepancies between in situ observations and satellite data at urban and rural sites

Overview of attention for article published in International Journal of Remote Sensing, July 2018
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Mentioned by

twitter
2 tweeters

Citations

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11 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Autumn leaf phenology: discrepancies between in situ observations and satellite data at urban and rural sites
Published in
International Journal of Remote Sensing, July 2018
DOI 10.1080/01431161.2018.1482021
Authors

Alison Donnelly, Lingling Liu, Xiaoyang Zhang, Astrid Wingler

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Master 3 17%
Student > Ph. D. Student 2 11%
Professor > Associate Professor 2 11%
Student > Doctoral Student 2 11%
Other 2 11%
Unknown 3 17%
Readers by discipline Count As %
Earth and Planetary Sciences 7 39%
Environmental Science 5 28%
Agricultural and Biological Sciences 2 11%
Medicine and Dentistry 1 6%
Engineering 1 6%
Other 0 0%
Unknown 2 11%

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 01 February 2021.
All research outputs
#14,201,143
of 18,458,381 outputs
Outputs from International Journal of Remote Sensing
#1,134
of 1,306 outputs
Outputs of similar age
#244,793
of 353,581 outputs
Outputs of similar age from International Journal of Remote Sensing
#17
of 18 outputs
Altmetric has tracked 18,458,381 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,306 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 12th percentile – i.e., 12% 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 353,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.