You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A workflow to process 3D+time microscopy images of developing organisms and reconstruct their cell lineage
|
|---|---|
| Published in |
Nature Communications, February 2016
|
| DOI | 10.1038/ncomms9674 |
| Pubmed ID | |
| Authors |
Emmanuel Faure, Thierry Savy, Barbara Rizzi, Camilo Melani, Olga Stašová, Dimitri Fabrèges, Róbert Špir, Mark Hammons, Róbert Čúnderlík, Gaëlle Recher, Benoît Lombardot, Louise Duloquin, Ingrid Colin, Jozef Kollár, Sophie Desnoulez, Pierre Affaticati, Benoît Maury, Adeline Boyreau, Jean-Yves Nief, Pascal Calvat, Philippe Vernier, Monique Frain, Georges Lutfalla, Yannick Kergosien, Pierre Suret, Mariana Remešíková, René Doursat, Alessandro Sarti, Karol Mikula, Nadine Peyriéras, Paul Bourgine |
| Abstract |
The quantitative and systematic analysis of embryonic cell dynamics from in vivo 3D+time image data sets is a major challenge at the forefront of developmental biology. Despite recent breakthroughs in the microscopy imaging of living systems, producing an accurate cell lineage tree for any developing organism remains a difficult task. We present here the BioEmergences workflow integrating all reconstruction steps from image acquisition and processing to the interactive visualization of reconstructed data. Original mathematical methods and algorithms underlie image filtering, nucleus centre detection, nucleus and membrane segmentation, and cell tracking. They are demonstrated on zebrafish, ascidian and sea urchin embryos with stained nuclei and membranes. Subsequent validation and annotations are carried out using Mov-IT, a custom-made graphical interface. Compared with eight other software tools, our workflow achieved the best lineage score. Delivered in standalone or web service mode, BioEmergences and Mov-IT offer a unique set of tools for in silico experimental embryology. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 33% |
| United States | 2 | 33% |
| United Kingdom | 1 | 17% |
| Germany | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| France | 2 | 1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Japan | 1 | <1% |
| Slovakia | 1 | <1% |
| Unknown | 129 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 20% |
| Researcher | 25 | 18% |
| Student > Master | 25 | 18% |
| Student > Bachelor | 10 | 7% |
| Other | 7 | 5% |
| Other | 20 | 14% |
| Unknown | 23 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 33% |
| Biochemistry, Genetics and Molecular Biology | 27 | 20% |
| Computer Science | 9 | 7% |
| Physics and Astronomy | 8 | 6% |
| Engineering | 6 | 4% |
| Other | 17 | 12% |
| Unknown | 26 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 February 2017.
All research outputs
#6,971,729
of 23,012,811 outputs
Outputs from Nature Communications
#35,987
of 47,382 outputs
Outputs of similar age
#96,329
of 299,163 outputs
Outputs of similar age from Nature Communications
#599
of 858 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 47,382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one is in the 23rd percentile – i.e., 23% 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 299,163 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 858 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.