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Mendeley readers
Attention Score in Context
| Title |
Three-dimensional modeling of chromatin structure from interaction frequency data using Markov chain Monte Carlo sampling
|
|---|---|
| Published in |
BMC Bioinformatics, October 2011
|
| DOI | 10.1186/1471-2105-12-414 |
| Pubmed ID | |
| Authors |
Mathieu Rousseau, James Fraser, Maria A Ferraiuolo, Josée Dostie, Mathieu Blanchette |
| Abstract |
Long-range interactions between regulatory DNA elements such as enhancers, insulators and promoters play an important role in regulating transcription. As chromatin contacts have been found throughout the human genome and in different cell types, spatial transcriptional control is now viewed as a general mechanism of gene expression regulation. Chromosome Conformation Capture Carbon Copy (5C) and its variant Hi-C are techniques used to measure the interaction frequency (IF) between specific regions of the genome. Our goal is to use the IF data generated by these experiments to computationally model and analyze three-dimensional chromatin organization. |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 4% |
| Germany | 2 | 1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| Denmark | 1 | <1% |
| Australia | 1 | <1% |
| Spain | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 163 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 28% |
| Researcher | 46 | 25% |
| Student > Master | 19 | 10% |
| Professor > Associate Professor | 13 | 7% |
| Student > Bachelor | 12 | 7% |
| Other | 26 | 14% |
| Unknown | 15 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 47% |
| Biochemistry, Genetics and Molecular Biology | 34 | 19% |
| Computer Science | 16 | 9% |
| Mathematics | 8 | 4% |
| Physics and Astronomy | 7 | 4% |
| Other | 14 | 8% |
| Unknown | 17 | 9% |
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 05 January 2012.
All research outputs
#12,852,556
of 22,661,413 outputs
Outputs from BMC Bioinformatics
#3,776
of 7,241 outputs
Outputs of similar age
#83,572
of 140,380 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 102 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,241 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% 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 140,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.