The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional Scaffolding for Brain Implants: Engineered Neuronal Network by Microfabrication and iPSC Technology
|
|---|---|
| Published in |
Frontiers in Neuroscience, August 2019
|
| DOI | 10.3389/fnins.2019.00890 |
| Pubmed ID | |
| Authors |
Kenta Shimba, Chih-Hsiang Chang, Takahiro Asahina, Fumika Moriya, Kiyoshi Kotani, Yasuhiko Jimbo, Arseniy Gladkov, Oksana Antipova, Yana Pigareva, Vladimir Kolpakov, Irina Mukhina, Victor Kazantsev, Alexey Pimashkin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 10 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 19% |
| Student > Ph. D. Student | 7 | 16% |
| Researcher | 7 | 16% |
| Student > Master | 5 | 12% |
| Other | 3 | 7% |
| Other | 1 | 2% |
| Unknown | 12 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Engineering | 5 | 12% |
| Medicine and Dentistry | 3 | 7% |
| Immunology and Microbiology | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 15 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 15 January 2024.
All research outputs
#5,399,846
of 26,315,660 outputs
Outputs from Frontiers in Neuroscience
#4,036
of 11,803 outputs
Outputs of similar age
#94,794
of 353,226 outputs
Outputs of similar age from Frontiers in Neuroscience
#98
of 331 outputs
Altmetric has tracked 26,315,660 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,803 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 65% 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 353,226 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 331 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.