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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Cell Microarrays for Biomedical Applications.
|
|---|---|
| Chapter number | 19 |
| Book title |
Microarray Technology
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3136-1_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3135-4, 978-1-4939-3136-1
|
| Authors |
Rothbauer, Mario, Charwat, Verena, Ertl, Peter, Mario Rothbauer, Verena Charwat, Peter Ertl |
| Abstract |
In this chapter the state of the art of live cell microarrays for high-throughput biological assays are reviewed. The fabrication of novel microarrays with respect to material science and cell patterning methods is included. A main focus of the chapter is on various aspects of the application of cell microarrays by providing selected examples in research fields such as biomaterials, stem cell biology and neuroscience. Additionally, the importance of microfluidic technologies for high-throughput on-chip live-cell microarrays is highlighted for single-cell and multi-cell assays as well as for 3D tissue constructs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 22% |
| Student > Master | 5 | 22% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Bachelor | 2 | 9% |
| Student > Doctoral Student | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 6 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 30% |
| Agricultural and Biological Sciences | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Chemistry | 2 | 9% |
| Computer Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 November 2015.
All research outputs
#15,351,145
of 22,834,308 outputs
Outputs from Methods in molecular biology
#5,346
of 13,126 outputs
Outputs of similar age
#230,884
of 393,581 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,470 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 393,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.