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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the origins of the mitotic shift in proliferating cell layers
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, May 2014
|
| DOI | 10.1186/1742-4682-11-26 |
| Pubmed ID | |
| Authors |
William T Gibson, Boris Y Rubinstein, Emily J Meyer, James H Veldhuis, G Wayne Brodland, Radhika Nagpal, Matthew C Gibson |
| Abstract |
During plant and animal development, monolayer cell sheets display a stereotyped distribution of polygonal cell shapes. In interphase cells these shapes range from quadrilaterals to decagons, with a robust average of six sides per cell. In contrast, the subset of cells in mitosis exhibits a distinct distribution with an average of seven sides. It remains unclear whether this 'mitotic shift' reflects a causal relationship between increased polygonal sidedness and increased division likelihood, or alternatively, a passive effect of local proliferation on cell shape. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Mexico | 1 | 4% |
| Portugal | 1 | 4% |
| Unknown | 23 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 46% |
| Student > Bachelor | 5 | 19% |
| Researcher | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 54% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Engineering | 2 | 8% |
| Mathematics | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 12% |
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 03 June 2014.
All research outputs
#18,345,259
of 23,577,654 outputs
Outputs from Theoretical Biology and Medical Modelling
#208
of 284 outputs
Outputs of similar age
#157,141
of 228,152 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#7
of 15 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 25th percentile – i.e., 25% 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 228,152 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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 53% of its contemporaries.