↓ Skip to main content

TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning

Overview of attention for article published in Information Systems Frontiers, August 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
23 Mendeley
Title
TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning
Published in
Information Systems Frontiers, August 2017
DOI 10.1007/s10796-017-9780-0
Authors

Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Student > Ph. D. Student 3 13%
Professor 2 9%
Researcher 2 9%
Student > Bachelor 1 4%
Other 1 4%
Unknown 10 43%
Readers by discipline Count As %
Computer Science 5 22%
Business, Management and Accounting 1 4%
Economics, Econometrics and Finance 1 4%
Psychology 1 4%
Social Sciences 1 4%
Other 0 0%
Unknown 14 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 September 2017.
All research outputs
#13,876,200
of 22,999,744 outputs
Outputs from Information Systems Frontiers
#184
of 313 outputs
Outputs of similar age
#165,493
of 315,948 outputs
Outputs of similar age from Information Systems Frontiers
#4
of 11 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 313 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 39th percentile – i.e., 39% 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 315,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.