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Hierarchical image fusion

Overview of attention for article published in Machine Vision and Applications, December 1990
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Mentioned by

patent
3 patents

Citations

dimensions_citation
174 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
1 CiteULike
Title
Hierarchical image fusion
Published in
Machine Vision and Applications, December 1990
DOI 10.1007/bf01211447
Authors

Alexander Toet

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Netherlands 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Ph. D. Student 7 16%
Student > Bachelor 7 16%
Student > Master 6 13%
Professor 3 7%
Other 8 18%
Unknown 6 13%
Readers by discipline Count As %
Engineering 18 40%
Computer Science 13 29%
Psychology 2 4%
Agricultural and Biological Sciences 2 4%
Earth and Planetary Sciences 1 2%
Other 1 2%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 June 2015.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#162
of 551 outputs
Outputs of similar age
#12,309
of 60,962 outputs
Outputs of similar age from Machine Vision and Applications
#2
of 2 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 60,962 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.