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Data retrieval from building information models based on visual programming

Overview of attention for article published in Visualization in Engineering, October 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
141 Mendeley
Title
Data retrieval from building information models based on visual programming
Published in
Visualization in Engineering, October 2017
DOI 10.1186/s40327-017-0055-0
Authors

Cornelius Preidel, Simon Daum, André Borrmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 23%
Student > Master 27 19%
Student > Bachelor 13 9%
Researcher 9 6%
Lecturer 9 6%
Other 16 11%
Unknown 35 25%
Readers by discipline Count As %
Engineering 64 45%
Computer Science 10 7%
Design 7 5%
Environmental Science 4 3%
Business, Management and Accounting 4 3%
Other 12 9%
Unknown 40 28%
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 12 October 2017.
All research outputs
#17,917,778
of 23,005,189 outputs
Outputs from Visualization in Engineering
#28
of 42 outputs
Outputs of similar age
#232,325
of 324,711 outputs
Outputs of similar age from Visualization in Engineering
#3
of 6 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 42 research outputs from this source. They receive a mean Attention Score of 3.2. This one scored the same or higher as 14 of them.
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 324,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.