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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Population Variation and Genetic Control of Modular Chromatin Architecture in Humans
|
|---|---|
| Published in |
Cell, August 2015
|
| DOI | 10.1016/j.cell.2015.08.001 |
| Pubmed ID | |
| Authors |
Sebastian M. Waszak, Olivier Delaneau, Andreas R. Gschwind, Helena Kilpinen, Sunil K. Raghav, Robert M. Witwicki, Andrea Orioli, Michael Wiederkehr, Nikolaos I. Panousis, Alisa Yurovsky, Luciana Romano-Palumbo, Alexandra Planchon, Deborah Bielser, Ismael Padioleau, Gilles Udin, Sarah Thurnheer, David Hacker, Nouria Hernandez, Alexandre Reymond, Bart Deplancke, Emmanouil T. Dermitzakis |
| Abstract |
Chromatin state variation at gene regulatory elements is abundant across individuals, yet we understand little about the genetic basis of this variability. Here, we profiled several histone modifications, the transcription factor (TF) PU.1, RNA polymerase II, and gene expression in lymphoblastoid cell lines from 47 whole-genome sequenced individuals. We observed that distinct cis-regulatory elements exhibit coordinated chromatin variation across individuals in the form of variable chromatin modules (VCMs) at sub-Mb scale. VCMs were associated with thousands of genes and preferentially cluster within chromosomal contact domains. We mapped strong proximal and weak, yet more ubiquitous, distal-acting chromatin quantitative trait loci (cQTL) that frequently explain this variation. cQTLs were associated with molecular activity at clusters of cis-regulatory elements and mapped preferentially within TF-bound regions. We propose that local, sequence-independent chromatin variation emerges as a result of genetic perturbations in cooperative interactions between cis-regulatory elements that are located within the same genomic domain. |
X Demographics
The data shown below were collected from the profiles of 68 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 | 28 | 41% |
| Switzerland | 5 | 7% |
| United Kingdom | 4 | 6% |
| France | 4 | 6% |
| Spain | 3 | 4% |
| Belgium | 2 | 3% |
| India | 1 | 1% |
| Italy | 1 | 1% |
| Egypt | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 17 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 36 | 53% |
| Members of the public | 29 | 43% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 435 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 3% |
| Spain | 4 | <1% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| Denmark | 2 | <1% |
| China | 2 | <1% |
| Ireland | 1 | <1% |
| France | 1 | <1% |
| Lithuania | 1 | <1% |
| Other | 6 | 1% |
| Unknown | 401 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 126 | 29% |
| Student > Ph. D. Student | 124 | 29% |
| Student > Bachelor | 31 | 7% |
| Student > Master | 26 | 6% |
| Professor > Associate Professor | 25 | 6% |
| Other | 63 | 14% |
| Unknown | 40 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 193 | 44% |
| Biochemistry, Genetics and Molecular Biology | 138 | 32% |
| Computer Science | 21 | 5% |
| Medicine and Dentistry | 16 | 4% |
| Engineering | 5 | 1% |
| Other | 18 | 4% |
| Unknown | 44 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 17 April 2024.
All research outputs
#985,670
of 25,732,188 outputs
Outputs from Cell
#3,776
of 17,267 outputs
Outputs of similar age
#12,696
of 278,234 outputs
Outputs of similar age from Cell
#56
of 152 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.6. This one has done well, scoring higher than 78% 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 278,234 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 152 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 63% of its contemporaries.