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Mendeley readers
Attention Score in Context
| Title |
Multistable switches and their role in cellular differentiation networks
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-s7-s7 |
| Pubmed ID | |
| Authors |
Ahmadreza Ghaffarizadeh, Nicholas S Flann, Gregory J Podgorski |
| Abstract |
Cellular differentiation during development is controlled by gene regulatory networks (GRNs). This complex process is always subject to gene expression noise. There is evidence suggesting that commonly seen patterns in GRNs, referred to as biological multistable switches, play an important role in creating the structure of lineage trees by providing stability to cell types. |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| United Kingdom | 1 | 2% |
| Unknown | 52 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 47% |
| Researcher | 10 | 18% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 6 | 11% |
| Student > Doctoral Student | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 36% |
| Biochemistry, Genetics and Molecular Biology | 15 | 27% |
| Computer Science | 3 | 5% |
| Physics and Astronomy | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 4 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 March 2021.
All research outputs
#7,451,284
of 22,780,165 outputs
Outputs from BMC Bioinformatics
#3,020
of 7,277 outputs
Outputs of similar age
#73,327
of 226,720 outputs
Outputs of similar age from BMC Bioinformatics
#60
of 153 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 226,720 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 55% of its contemporaries.
We're also able to compare this research output to 153 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 59% of its contemporaries.