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Lost in the supermarket: Quantifying the cost of partitioning memory sets in hybrid search

Overview of attention for article published in Memory & Cognition, August 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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8 X users

Citations

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7 Dimensions

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30 Mendeley
Title
Lost in the supermarket: Quantifying the cost of partitioning memory sets in hybrid search
Published in
Memory & Cognition, August 2017
DOI 10.3758/s13421-017-0744-x
Pubmed ID
Authors

Sage E. P. Boettcher, Trafton Drew, Jeremy M. Wolfe

Abstract

The items on a memorized grocery list are not relevant in every aisle; for example, it is useless to search for the cabbage in the cereal aisle. It might be beneficial if one could mentally partition the list so only the relevant subset was active, so that vegetables would be activated in the produce section. In four experiments, we explored observers' abilities to partition memory searches. For example, if observers held 16 items in memory, but only eight of the items were relevant, would response times resemble a search through eight or 16 items? In Experiments 1a and 1b, observers were not faster for the partition set; however, they suffered relatively small deficits when "lures" (items from the irrelevant subset) were presented, indicating that they were aware of the partition. In Experiment 2 the partitions were based on semantic distinctions, and again, observers were unable to restrict search to the relevant items. In Experiments 3a and 3b, observers attempted to remove items from the list one trial at a time but did not speed up over the course of a block, indicating that they also could not limit their memory searches. Finally, Experiments 4a, 4b, 4c, and 4d showed that observers were able to limit their memory searches when a subset was relevant for a run of trials. Overall, observers appear to be unable or unwilling to partition memory sets from trial to trial, yet they are capable of restricting search to a memory subset that remains relevant for several trials. This pattern is consistent with a cost to switching between currently relevant memory items.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 6 20%
Student > Bachelor 5 17%
Professor > Associate Professor 4 13%
Student > Ph. D. Student 2 7%
Other 3 10%
Unknown 3 10%
Readers by discipline Count As %
Psychology 15 50%
Neuroscience 7 23%
Economics, Econometrics and Finance 1 3%
Arts and Humanities 1 3%
Unknown 6 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 June 2020.
All research outputs
#6,699,793
of 25,271,884 outputs
Outputs from Memory & Cognition
#396
of 1,648 outputs
Outputs of similar age
#97,010
of 323,616 outputs
Outputs of similar age from Memory & Cognition
#6
of 25 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,648 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 75% 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 323,616 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 69% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.