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Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis

Overview of attention for article published in Frontiers in Neurorobotics, December 2020
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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 (51st percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis
Published in
Frontiers in Neurorobotics, December 2020
DOI 10.3389/fnbot.2020.597471
Pubmed ID
Authors

Jin Gu, Baolin Liu, Weiran Yan, Qiaomu Miao, Jianguo Wei

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Other 1 17%
Unknown 2 33%
Readers by discipline Count As %
Unspecified 1 17%
Computer Science 1 17%
Psychology 1 17%
Neuroscience 1 17%
Unknown 2 33%
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 31 December 2020.
All research outputs
#15,351,922
of 24,797,973 outputs
Outputs from Frontiers in Neurorobotics
#328
of 994 outputs
Outputs of similar age
#256,842
of 486,541 outputs
Outputs of similar age from Frontiers in Neurorobotics
#20
of 39 outputs
Altmetric has tracked 24,797,973 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 994 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 64% 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 486,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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 51% of its contemporaries.