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Mendeley readers
Attention Score in Context
| Title |
Hierarchies in eukaryotic genome organization: Insights from polymer theory and simulations
|
|---|---|
| Published in |
BMC Biophysics, April 2011
|
| DOI | 10.1186/2046-1682-4-8 |
| Pubmed ID | |
| Authors |
Balaji VS Iyer, Martin Kenward, Gaurav Arya |
| Abstract |
Eukaryotic genomes possess an elaborate and dynamic higher-order structure within the limiting confines of the cell nucleus. Knowledge of the physical principles and the molecular machinery that govern the 3D organization of this structure and its regulation are key to understanding the relationship between genome structure and function. Elegant microscopy and chromosome conformation capture techniques supported by analysis based on polymer models are important steps in this direction. Here, we review results from these efforts and provide some additional insights that elucidate the relationship between structure and function at different hierarchical levels of genome organization. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 113 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 19% |
| Student > Ph. D. Student | 21 | 18% |
| Student > Bachelor | 18 | 15% |
| Professor | 10 | 8% |
| Student > Master | 8 | 7% |
| Other | 17 | 14% |
| Unknown | 21 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 33% |
| Biochemistry, Genetics and Molecular Biology | 31 | 26% |
| Chemistry | 6 | 5% |
| Physics and Astronomy | 6 | 5% |
| Chemical Engineering | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 25 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 23 August 2017.
All research outputs
#3,707,842
of 22,653,392 outputs
Outputs from BMC Biophysics
#13
of 69 outputs
Outputs of similar age
#18,645
of 108,279 outputs
Outputs of similar age from BMC Biophysics
#1
of 5 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 69 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% 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 108,279 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them