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Searching for Semantic Knowledge: A Vector Space Semantic Analysis of the Feature Generation Task

Overview of attention for article published in Frontiers in Human Neuroscience, October 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
29 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
54 Mendeley
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Title
Searching for Semantic Knowledge: A Vector Space Semantic Analysis of the Feature Generation Task
Published in
Frontiers in Human Neuroscience, October 2019
DOI 10.3389/fnhum.2019.00341
Pubmed ID
Authors

Rebecca A. Cutler, Melissa C. Duff, Sean M. Polyn

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 11 20%
Student > Master 6 11%
Student > Bachelor 2 4%
Professor 2 4%
Other 9 17%
Unknown 11 20%
Readers by discipline Count As %
Neuroscience 17 31%
Psychology 11 20%
Linguistics 4 7%
Unspecified 2 4%
Computer Science 2 4%
Other 0 0%
Unknown 18 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 18 November 2019.
All research outputs
#2,102,238
of 25,804,096 outputs
Outputs from Frontiers in Human Neuroscience
#957
of 7,768 outputs
Outputs of similar age
#43,437
of 364,795 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#14
of 119 outputs
Altmetric has tracked 25,804,096 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 87% 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 364,795 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.