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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
3D Cell Culture: An Introduction
|
|---|---|
| Chapter number | 1 |
| Book title |
3D Cell Culture
|
| Published in |
Methods in molecular biology, June 2017
|
| DOI | 10.1007/978-1-4939-7021-6_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7019-3, 978-1-4939-7021-6
|
| Authors |
Koledova, Zuzana, Zuzana Koledova |
| Editors |
Zuzana Koledova |
| Abstract |
3D cell culture is an invaluable tool in developmental, cell, and cancer biology. By mimicking crucial features of in vivo environment, including cell-cell and cell-extracellular matrix interactions, 3D cell culture enables proper structural architecture and differentiated function of normal tissues or tumors in vitro. Thereby 3D cell culture realistically models in vivo tissue conditions and processes, and provides in vivo like responses. Since its early days in the 1970s, 3D cell culture has revealed important insights into mechanisms of tissue homeostasis and cancer, and accelerated translational research in cancer biology and tissue engineering. |
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 % |
|---|---|---|
| United States | 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 15% |
| Student > Bachelor | 16 | 13% |
| Student > Master | 13 | 11% |
| Researcher | 12 | 10% |
| Student > Doctoral Student | 6 | 5% |
| Other | 12 | 10% |
| Unknown | 45 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 20% |
| Agricultural and Biological Sciences | 9 | 7% |
| Medicine and Dentistry | 9 | 7% |
| Engineering | 9 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 20 | 16% |
| Unknown | 47 | 39% |
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 22 June 2017.
All research outputs
#20,429,992
of 22,982,639 outputs
Outputs from Methods in molecular biology
#9,929
of 13,149 outputs
Outputs of similar age
#275,935
of 316,843 outputs
Outputs of similar age from Methods in molecular biology
#218
of 280 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,149 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 316,843 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.