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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Boolean genetic network model for the control of C. elegans early embryonic cell cycles
|
|---|---|
| Published in |
BioMedical Engineering OnLine, December 2013
|
| DOI | 10.1186/1475-925x-12-s1-s1 |
| Pubmed ID | |
| Authors |
Xiaotai Huang, Long Chen, Hung Chim, Leanne Lai Hang Chan, Zhongying Zhao, Hong Yan |
| Abstract |
In Caenorhabditis elegans early embryo, cell cycles only have two phases: DNA synthesis and mitosis, which are different from the typical 4-phase cell cycle. Modeling this cell-cycle process into network can fill up the gap in C. elegans cell-cycle study and provide a thorough understanding on the cell-cycle regulations and progressions at the network level. |
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% |
| United States | 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 42% |
| Researcher | 2 | 17% |
| Student > Bachelor | 2 | 17% |
| Professor > Associate Professor | 1 | 8% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 33% |
| Physics and Astronomy | 3 | 25% |
| Computer Science | 2 | 17% |
| Engineering | 1 | 8% |
| Unknown | 2 | 17% |
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 16 October 2014.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from BioMedical Engineering OnLine
#578
of 867 outputs
Outputs of similar age
#235,560
of 320,288 outputs
Outputs of similar age from BioMedical Engineering OnLine
#6
of 16 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 30th percentile – i.e., 30% 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 320,288 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 62% of its contemporaries.