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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cell Tracking for Organoids: Lessons From Developmental Biology
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, June 2021
|
| DOI | 10.3389/fcell.2021.675013 |
| Pubmed ID | |
| Authors |
Max A. Betjes, Xuan Zheng, Rutger N. U. Kok, Jeroen S. van Zon, Sander J. Tans |
| Abstract |
Organoids have emerged as powerful model systems to study organ development and regeneration at the cellular level. Recently developed microscopy techniques that track individual cells through space and time hold great promise to elucidate the organizational principles of organs and organoids. Applied extensively in the past decade to embryo development and 2D cell cultures, cell tracking can reveal the cellular lineage trees, proliferation rates, and their spatial distributions, while fluorescent markers indicate differentiation events and other cellular processes. Here, we review a number of recent studies that exemplify the power of this approach, and illustrate its potential to organoid research. We will discuss promising future routes, and the key technical challenges that need to be overcome to apply cell tracking techniques to organoid biology. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 20% |
| Spain | 1 | 20% |
| United States | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 16% |
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 15 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 23% |
| Agricultural and Biological Sciences | 4 | 9% |
| Engineering | 3 | 7% |
| Immunology and Microbiology | 3 | 7% |
| Neuroscience | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 15 | 34% |
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 07 June 2021.
All research outputs
#14,554,120
of 23,308,124 outputs
Outputs from Frontiers in Cell and Developmental Biology
#2,950
of 9,293 outputs
Outputs of similar age
#227,904
of 448,181 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#261
of 924 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,293 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 64% 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 448,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 924 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 67% of its contemporaries.