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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Artificial Microniche Array with Spatially Structured Biochemical Cues
|
---|---|
Chapter number | 5 |
Book title |
Cell-Based Microarrays
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7792-5_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7791-8, 978-1-4939-7792-5
|
Authors |
Xumei Gao, Celine Stoecklin, Yue Zhang, Zhe Weng, Richard De Mets, Gianluca Grenci, Virgile Viasnoff, Gao, Xumei, Stoecklin, Celine, Zhang, Yue, Weng, Zhe, Mets, Richard De, Grenci, Gianluca, Viasnoff, Virgile |
Abstract |
We present here a method to create arrays of microcavities that can be differentially coated on their bottom, side, and top with different proteins. These cavities range in size from single cell to multicellular aggregate. We provide detailed protocols to create such arrays with some variations using different materials and different coating proteins. The use of such cavities as bona fide artificial microniches to mimic cellular microenvironments has been already established and is referenced. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
Austria | 1 | 33% |
Singapore | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 38% |
Student > Master | 2 | 15% |
Researcher | 2 | 15% |
Student > Bachelor | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 2 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 38% |
Materials Science | 2 | 15% |
Chemical Engineering | 1 | 8% |
Physics and Astronomy | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 April 2018.
All research outputs
#14,981,465
of 23,045,021 outputs
Outputs from Methods in molecular biology
#4,741
of 13,194 outputs
Outputs of similar age
#255,833
of 442,426 outputs
Outputs of similar age from Methods in molecular biology
#509
of 1,499 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 442,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 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 60% of its contemporaries.