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Towards intelligent GIServices

Overview of attention for article published in Earth Science Informatics, June 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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57 Dimensions

Readers on

mendeley
73 Mendeley
Title
Towards intelligent GIServices
Published in
Earth Science Informatics, June 2015
DOI 10.1007/s12145-015-0229-z
Authors

Peng Yue, Peter Baumann, Kaylin Bugbee, Liangcun Jiang

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

Geographical breakdown

Country Count As %
Russia 1 1%
Brazil 1 1%
Unknown 71 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 27%
Student > Master 13 18%
Researcher 9 12%
Professor > Associate Professor 4 5%
Student > Bachelor 3 4%
Other 6 8%
Unknown 18 25%
Readers by discipline Count As %
Computer Science 27 37%
Earth and Planetary Sciences 9 12%
Engineering 6 8%
Environmental Science 3 4%
Social Sciences 3 4%
Other 5 7%
Unknown 20 27%
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 14 September 2015.
All research outputs
#15,346,908
of 22,828,180 outputs
Outputs from Earth Science Informatics
#58
of 94 outputs
Outputs of similar age
#154,618
of 264,401 outputs
Outputs of similar age from Earth Science Informatics
#4
of 4 outputs
Altmetric has tracked 22,828,180 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 94 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 15th percentile – i.e., 15% 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 264,401 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.