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Structural diverseness of neurons between brain areas and between cases

Overview of attention for article published in Translational Psychiatry, January 2021
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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 (97th percentile)

Mentioned by

news
15 news outlets
blogs
1 blog
twitter
34 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
23 Mendeley
Title
Structural diverseness of neurons between brain areas and between cases
Published in
Translational Psychiatry, January 2021
DOI 10.1038/s41398-020-01173-x
Pubmed ID
Authors

Ryuta Mizutani, Rino Saiga, Yoshiro Yamamoto, Masayuki Uesugi, Akihisa Takeuchi, Kentaro Uesugi, Yasuko Terada, Yoshio Suzuki, Vincent De Andrade, Francesco De Carlo, Susumu Takekoshi, Chie Inomoto, Naoya Nakamura, Youta Torii, Itaru Kushima, Shuji Iritani, Norio Ozaki, Kenichi Oshima, Masanari Itokawa, Makoto Arai

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Researcher 3 13%
Student > Doctoral Student 2 9%
Professor > Associate Professor 2 9%
Professor 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Computer Science 2 9%
Agricultural and Biological Sciences 2 9%
Engineering 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Physics and Astronomy 1 4%
Other 3 13%
Unknown 12 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 135. 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 April 2021.
All research outputs
#313,821
of 25,784,004 outputs
Outputs from Translational Psychiatry
#152
of 3,728 outputs
Outputs of similar age
#9,189
of 534,455 outputs
Outputs of similar age from Translational Psychiatry
#4
of 144 outputs
Altmetric has tracked 25,784,004 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 3,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.3. 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 534,455 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 144 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 97% of its contemporaries.