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X Demographics
Mendeley readers
| Title |
Quantifying the contribution of chromatin dynamics to stochastic gene expression reveals long, locus-dependent periods between transcriptional bursts
|
|---|---|
| Published in |
BMC Biology, February 2013
|
| DOI | 10.1186/1741-7007-11-15 |
| Pubmed ID | |
| Authors |
José Viñuelas, Gaël Kaneko, Antoine Coulon, Elodie Vallin, Valérie Morin, Camila Mejia-Pous, Jean-Jacques Kupiec, Guillaume Beslon, Olivier Gandrillon |
| Abstract |
A number of studies have established that stochasticity in gene expression may play an important role in many biological phenomena. This therefore calls for further investigations to identify the molecular mechanisms at stake, in order to understand and manipulate cell-to-cell variability. In this work, we explored the role played by chromatin dynamics in the regulation of stochastic gene expression in higher eukaryotic cells. |
X Demographics
The data shown below were collected from the profiles of 10 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 States | 3 | 30% |
| United Kingdom | 2 | 20% |
| Spain | 1 | 10% |
| Australia | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 40% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | 2% |
| Chile | 2 | 2% |
| United States | 2 | 2% |
| France | 2 | 2% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 93 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 28% |
| Student > Ph. D. Student | 25 | 24% |
| Student > Master | 13 | 13% |
| Professor > Associate Professor | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Other | 14 | 14% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 50% |
| Biochemistry, Genetics and Molecular Biology | 21 | 20% |
| Physics and Astronomy | 8 | 8% |
| Engineering | 3 | 3% |
| Computer Science | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 14 | 14% |