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NeTra: A toolbox for navigating large image databases

Overview of attention for article published in Multimedia Systems, May 1999
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Mentioned by

patent
27 patents

Citations

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216 Dimensions

Readers on

mendeley
119 Mendeley
Title
NeTra: A toolbox for navigating large image databases
Published in
Multimedia Systems, May 1999
DOI 10.1007/s005300050121
Authors

Wei-Ying Ma, B.S. Manjunath

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Brazil 3 3%
Colombia 2 2%
Spain 2 2%
France 1 <1%
Norway 1 <1%
Italy 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Other 3 3%
Unknown 100 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 30%
Researcher 21 18%
Student > Master 18 15%
Professor 8 7%
Student > Bachelor 6 5%
Other 19 16%
Unknown 11 9%
Readers by discipline Count As %
Computer Science 77 65%
Engineering 17 14%
Mathematics 2 2%
Earth and Planetary Sciences 2 2%
Agricultural and Biological Sciences 2 2%
Other 4 3%
Unknown 15 13%
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 26 December 2023.
All research outputs
#7,560,078
of 23,061,402 outputs
Outputs from Multimedia Systems
#96
of 288 outputs
Outputs of similar age
#11,205
of 35,871 outputs
Outputs of similar age from Multimedia Systems
#2
of 4 outputs
Altmetric has tracked 23,061,402 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 288 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 14th percentile – i.e., 14% 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 35,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% 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. This one has scored higher than 2 of them.