↓ Skip to main content

Long-term dynamics of CA1 hippocampal place codes

Overview of attention for article published in Nature Neuroscience, February 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Citations

dimensions_citation
901 Dimensions

Readers on

mendeley
1472 Mendeley
citeulike
3 CiteULike
Title
Long-term dynamics of CA1 hippocampal place codes
Published in
Nature Neuroscience, February 2013
DOI 10.1038/nn.3329
Pubmed ID
Authors

Yaniv Ziv, Laurie D Burns, Eric D Cocker, Elizabeth O Hamel, Kunal K Ghosh, Lacey J Kitch, Abbas El Gamal, Mark J Schnitzer

Abstract

Using Ca(2+) imaging in freely behaving mice that repeatedly explored a familiar environment, we tracked thousands of CA1 pyramidal cells' place fields over weeks. Place coding was dynamic, as each day the ensemble representation of this environment involved a unique subset of cells. However, cells in the ∼15-25% overlap between any two of these subsets retained the same place fields, which sufficed to preserve an accurate spatial representation across weeks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 171 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 1,472 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 41 3%
United Kingdom 9 <1%
Germany 8 <1%
Japan 6 <1%
France 4 <1%
Canada 4 <1%
Spain 3 <1%
Netherlands 3 <1%
Chile 2 <1%
Other 9 <1%
Unknown 1383 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 411 28%
Researcher 330 22%
Student > Master 143 10%
Student > Bachelor 116 8%
Student > Postgraduate 72 5%
Other 209 14%
Unknown 191 13%
Readers by discipline Count As %
Neuroscience 480 33%
Agricultural and Biological Sciences 421 29%
Engineering 71 5%
Medicine and Dentistry 60 4%
Psychology 59 4%
Other 137 9%
Unknown 244 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 239. 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 04 August 2022.
All research outputs
#158,510
of 25,550,333 outputs
Outputs from Nature Neuroscience
#251
of 5,638 outputs
Outputs of similar age
#1,021
of 296,487 outputs
Outputs of similar age from Nature Neuroscience
#5
of 66 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.6. This one has done particularly well, scoring higher than 95% 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 296,487 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.