↓ Skip to main content

Sparse Linear Integration of Content and Context Modalities for Semantic Concept Retrieval

Overview of attention for article published in IEEE Transactions on Emerging Topics in Computing, June 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Sparse Linear Integration of Content and Context Modalities for Semantic Concept Retrieval
Published in
IEEE Transactions on Emerging Topics in Computing, June 2015
DOI 10.1109/tetc.2014.2384992
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Slovenia 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 3 25%
Researcher 2 17%
Lecturer 1 8%
Student > Bachelor 1 8%
Professor 1 8%
Other 3 25%
Unknown 1 8%
Readers by discipline
Readers by discipline Count As %
Computer Science 7 58%
Engineering 2 17%
Arts and Humanities 1 8%
Psychology 1 8%
Unknown 1 8%
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 03 August 2021.
All research outputs
#9,515,462
of 27,786,078 outputs
Outputs from IEEE Transactions on Emerging Topics in Computing
#64
of 233 outputs
Outputs of similar age
#101,432
of 284,210 outputs
Outputs of similar age from IEEE Transactions on Emerging Topics in Computing
#2
of 5 outputs
Altmetric has tracked 27,786,078 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 284,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 5 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.