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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A linked organ-on-chip model of the human neurovascular unit reveals the metabolic coupling of endothelial and neuronal cells
|
|---|---|
| Published in |
Nature Biotechnology, October 2018
|
| DOI | 10.1038/nbt.4226 |
| Pubmed ID | |
| Authors |
Ben M Maoz, Anna Herland, Edward A FitzGerald, Thomas Grevesse, Charles Vidoudez, Alan R Pacheco, Sean P Sheehy, Tae-Eun Park, Stephanie Dauth, Robert Mannix, Nikita Budnik, Kevin Shores, Alexander Cho, Janna C Nawroth, Daniel Segrè, Bogdan Budnik, Donald E Ingber, Kevin Kit Parker |
| Abstract |
The neurovascular unit (NVU) regulates metabolic homeostasis as well as drug pharmacokinetics and pharmacodynamics in the central nervous system. Metabolic fluxes and conversions over the NVU rely on interactions between brain microvascular endothelium, perivascular pericytes, astrocytes and neurons, making it difficult to identify the contributions of each cell type. Here we model the human NVU using microfluidic organ chips, allowing analysis of the roles of individual cell types in NVU functions. Three coupled chips model influx across the blood-brain barrier (BBB), the brain parenchymal compartment and efflux across the BBB. We used this linked system to mimic the effect of intravascular administration of the psychoactive drug methamphetamine and to identify previously unknown metabolic coupling between the BBB and neurons. Thus, the NVU system offers an in vitro approach for probing transport, efficacy, mechanism of action and toxicity of neuroactive drugs. |
X Demographics
The data shown below were collected from the profiles of 236 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 | 59 | 25% |
| United Kingdom | 10 | 4% |
| Canada | 8 | 3% |
| Germany | 8 | 3% |
| Spain | 7 | 3% |
| Sweden | 6 | 3% |
| Israel | 5 | 2% |
| France | 5 | 2% |
| Australia | 4 | 2% |
| Other | 29 | 12% |
| Unknown | 95 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 156 | 66% |
| Scientists | 65 | 28% |
| Practitioners (doctors, other healthcare professionals) | 7 | 3% |
| Science communicators (journalists, bloggers, editors) | 7 | 3% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 658 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 658 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 157 | 24% |
| Researcher | 85 | 13% |
| Student > Master | 75 | 11% |
| Student > Bachelor | 62 | 9% |
| Student > Doctoral Student | 38 | 6% |
| Other | 85 | 13% |
| Unknown | 156 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 114 | 17% |
| Engineering | 108 | 16% |
| Agricultural and Biological Sciences | 63 | 10% |
| Neuroscience | 59 | 9% |
| Medicine and Dentistry | 29 | 4% |
| Other | 90 | 14% |
| Unknown | 195 | 30% |
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 22 July 2019.
All research outputs
#149,605
of 25,743,152 outputs
Outputs from Nature Biotechnology
#292
of 8,610 outputs
Outputs of similar age
#2,909
of 355,706 outputs
Outputs of similar age from Nature Biotechnology
#10
of 100 outputs
Altmetric has tracked 25,743,152 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 8,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.4. This one has done particularly well, scoring higher than 96% 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 355,706 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 99% of its contemporaries.
We're also able to compare this research output to 100 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 90% of its contemporaries.