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Three-dimensional data modeling of real estate objects in China

Overview of attention for article published in Journal of Geographical Systems, May 2019
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
8 Mendeley
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Title
Three-dimensional data modeling of real estate objects in China
Published in
Journal of Geographical Systems, May 2019
DOI 10.1007/s10109-019-00295-1
Authors

Wu Changbin, Ding Yuan, Zhou Xinxin

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Doctoral Student 2 25%
Student > Bachelor 1 13%
Student > Master 1 13%
Unknown 2 25%
Readers by discipline Count As %
Engineering 4 50%
Computer Science 1 13%
Arts and Humanities 1 13%
Unknown 2 25%

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 15 August 2019.
All research outputs
#13,815,831
of 15,659,679 outputs
Outputs from Journal of Geographical Systems
#71
of 77 outputs
Outputs of similar age
#218,957
of 262,375 outputs
Outputs of similar age from Journal of Geographical Systems
#1
of 1 outputs
Altmetric has tracked 15,659,679 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 77 research outputs from this source. They receive a mean Attention Score of 4.4. 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 262,375 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