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Mendeley readers
Attention Score in Context
Chapter title |
Inkjet Printing for Biomedical Applications
|
---|---|
Chapter number | 9 |
Book title |
Cell-Based Microarrays
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7792-5_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7791-8, 978-1-4939-7792-5
|
Authors |
Christopher Chi Wai Tse, Patrick J. Smith, Tse, Christopher Chi Wai, Smith, Patrick J. |
Abstract |
Inkjet printing can deposit politer volumes of a specified ink at precise locations on a substrate. Here we describe methods of using inkjet printing for cell patterning in the field of biomedical applications, either directly printing cells in cell media, or indirectly through printing a wax scaffold that guides cell orientation/attachment onto a substrate. |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 40% |
Student > Doctoral Student | 2 | 8% |
Other | 1 | 4% |
Professor | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 2 | 8% |
Unknown | 8 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 32% |
Biochemistry, Genetics and Molecular Biology | 2 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Medicine and Dentistry | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 2 | 8% |
Unknown | 10 | 40% |
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 11 April 2018.
All research outputs
#18,601,965
of 23,041,514 outputs
Outputs from Methods in molecular biology
#7,994
of 13,194 outputs
Outputs of similar age
#330,621
of 442,409 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 is in the 24th percentile – i.e., 24% 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 442,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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 is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.