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Shell microelectrode arrays (MEAs) for brain organoids

Overview of attention for article published in Science Advances, August 2022
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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 (87th percentile)

Mentioned by

news
33 news outlets
blogs
1 blog
twitter
30 X users
facebook
1 Facebook page

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
132 Mendeley
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Title
Shell microelectrode arrays (MEAs) for brain organoids
Published in
Science Advances, August 2022
DOI 10.1126/sciadv.abq5031
Pubmed ID
Authors

Qi Huang, Bohao Tang, July Carolina Romero, Yuqian Yang, Saifeldeen Khalil Elsayed, Gayatri Pahapale, Tien-Jung Lee, Itzy E. Morales Pantoja, Fang Han, Cynthia Berlinicke, Terry Xiang, Mallory Solazzo, Thomas Hartung, Zhao Qin, Brian S. Caffo, Lena Smirnova, David H. Gracias

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 14%
Student > Ph. D. Student 10 8%
Professor 10 8%
Student > Master 9 7%
Student > Doctoral Student 4 3%
Other 14 11%
Unknown 66 50%
Readers by discipline Count As %
Engineering 21 16%
Neuroscience 16 12%
Agricultural and Biological Sciences 7 5%
Physics and Astronomy 5 4%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 11 8%
Unknown 68 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 252. 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 31 August 2024.
All research outputs
#157,432
of 26,245,199 outputs
Outputs from Science Advances
#1,408
of 13,435 outputs
Outputs of similar age
#4,696
of 438,865 outputs
Outputs of similar age from Science Advances
#66
of 512 outputs
Altmetric has tracked 26,245,199 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 13,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 118.0. This one has done well, scoring higher than 89% 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 438,865 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 512 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.