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Understanding Brains: Details, Intuition, and Big Data

Overview of attention for article published in PLoS Biology, May 2015
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
133 X users
facebook
7 Facebook pages
googleplus
1 Google+ user
podcasts
1 podcast

Readers on

mendeley
205 Mendeley
citeulike
1 CiteULike
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Article details
Title
Understanding Brains: Details, Intuition, and Big Data
Published in
PLoS Biology, May 2015
DOI 10.1371/journal.pbio.1002147
Pubmed ID
Authors
Abstract

Understanding how the brain works requires a delicate balance between the appreciation of the importance of a multitude of biological details and the ability to see beyond those details to general principles. As technological innovations vastly increase the amount of data we collect, the importance of intuition into how to analyze and treat these data may, paradoxically, become more important.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 133 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 2%
Germany 3 1%
United Kingdom 2 <1%
Brazil 2 <1%
Netherlands 1 <1%
Mexico 1 <1%
France 1 <1%
Spain 1 <1%
Switzerland 1 <1%
Other 0 0%
Unknown 188 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 55 27%
Student > Ph. D. Student 51 25%
Student > Bachelor 17 8%
Student > Master 17 8%
Professor 13 6%
Other 28 14%
Unknown 24 12%
Readers by discipline
Readers by discipline Count As %
Neuroscience 55 27%
Agricultural and Biological Sciences 49 24%
Medicine and Dentistry 12 6%
Psychology 12 6%
Computer Science 12 6%
Other 37 18%
Unknown 28 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 95. 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 13 March 2022.
All research outputs
#566,063
of 34,364,397 outputs
Outputs from PLoS Biology
#976
of 7,798 outputs
Outputs of similar age
#5,152
of 306,468 outputs
Outputs of similar age from PLoS Biology
#13
of 75 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.9. 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 306,468 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 98% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.