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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNA Methylation Dynamics of Human Hematopoietic Stem Cell Differentiation
|
|---|---|
| Published in |
Cell Stem Cell, November 2016
|
| DOI | 10.1016/j.stem.2016.10.019 |
| Pubmed ID | |
| Authors |
Matthias Farlik, Florian Halbritter, Fabian Müller, Fizzah A. Choudry, Peter Ebert, Johanna Klughammer, Samantha Farrow, Antonella Santoro, Valerio Ciaurro, Anthony Mathur, Rakesh Uppal, Hendrik G. Stunnenberg, Willem H. Ouwehand, Elisa Laurenti, Thomas Lengauer, Mattia Frontini, Christoph Bock |
| Abstract |
Hematopoietic stem cells give rise to all blood cells in a differentiation process that involves widespread epigenome remodeling. Here we present genome-wide reference maps of the associated DNA methylation dynamics. We used a meta-epigenomic approach that combines DNA methylation profiles across many small pools of cells and performed single-cell methylome sequencing to assess cell-to-cell heterogeneity. The resulting dataset identified characteristic differences between HSCs derived from fetal liver, cord blood, bone marrow, and peripheral blood. We also observed lineage-specific DNA methylation between myeloid and lymphoid progenitors, characterized immature multi-lymphoid progenitors, and detected progressive DNA methylation differences in maturing megakaryocytes. We linked these patterns to gene expression, histone modifications, and chromatin accessibility, and we used machine learning to derive a model of human hematopoietic differentiation directly from DNA methylation data. Our results contribute to a better understanding of human hematopoietic stem cell differentiation and provide a framework for studying blood-linked diseases. |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 8 | 22% |
| United States | 5 | 14% |
| United Kingdom | 3 | 8% |
| Canada | 2 | 6% |
| Germany | 1 | 3% |
| France | 1 | 3% |
| Spain | 1 | 3% |
| Peru | 1 | 3% |
| Brazil | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 56% |
| Scientists | 13 | 36% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 513 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | <1% |
| United States | 3 | <1% |
| Sweden | 1 | <1% |
| Switzerland | 1 | <1% |
| China | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 502 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 122 | 24% |
| Researcher | 116 | 23% |
| Student > Master | 50 | 10% |
| Student > Bachelor | 44 | 9% |
| Student > Doctoral Student | 22 | 4% |
| Other | 73 | 14% |
| Unknown | 86 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 191 | 37% |
| Agricultural and Biological Sciences | 110 | 21% |
| Medicine and Dentistry | 36 | 7% |
| Computer Science | 15 | 3% |
| Immunology and Microbiology | 14 | 3% |
| Other | 42 | 8% |
| Unknown | 105 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 25 June 2020.
All research outputs
#572,419
of 25,754,670 outputs
Outputs from Cell Stem Cell
#388
of 2,850 outputs
Outputs of similar age
#11,605
of 420,192 outputs
Outputs of similar age from Cell Stem Cell
#9
of 51 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,850 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.1. This one has done well, scoring higher than 86% 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 420,192 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 97% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.