| 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 |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 21% |
| France | 5 | 18% |
| Italy | 1 | 4% |
| India | 1 | 4% |
| Japan | 1 | 4% |
| Ireland | 1 | 4% |
| Germany | 1 | 4% |
| Paraguay | 1 | 4% |
| Czechia | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 71% |
| Scientists | 6 | 21% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 114 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 15% |
| Student > Ph. D. Student | 9 | 8% |
| Professor | 8 | 7% |
| Student > Master | 7 | 6% |
| Student > Postgraduate | 4 | 4% |
| Other | 11 | 10% |
| Unknown | 58 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 17% |
| Neuroscience | 15 | 13% |
| Agricultural and Biological Sciences | 5 | 4% |
| Physics and Astronomy | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 60 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 251. 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 07 February 2024.
All research outputs
#147,745
of 25,394,764 outputs
Outputs from Science Advances
#1,311
of 12,225 outputs
Outputs of similar age
#4,517
of 431,326 outputs
Outputs of similar age from Science Advances
#67
of 513 outputs
Altmetric has tracked 25,394,764 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 12,225 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.2. 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 431,326 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 513 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.