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Attention Score in Context
| Title |
High-throughput transcription profiling identifies putative epigenetic regulators of hematopoiesis
|
|---|---|
| Published in |
Blood, March 2014
|
| DOI | 10.1182/blood-2013-02-483537 |
| Pubmed ID | |
| Authors |
Punit Prasad, Michelle Rönnerblad, Erik Arner, Masayoshi Itoh, Hideya Kawaji, Timo Lassmann, Carsten O. Daub, Alistair R.R. Forrest, Andreas Lennartsson, Karl Ekwall, for the FANTOM consortium |
| Abstract |
Hematopoietic differentiation is governed by a complex regulatory program controlling the generation of different lineages of blood cells from multipotent hematopoietic stem cells. The transcriptional program that dictates hematopoietic cell fate and differentiation requires an epigenetic memory function provided by a network of epigenetic factors regulating DNA methylation, posttranslational histone modifications, and chromatin structure. Aberrant interactions between epigenetic factors and transcription factors cause perturbations in the blood cell differentiation program that result in various types of hematopoietic disorders. To elucidate the contributions of different epigenetic factors in human hematopoiesis, high-throughput cap analysis of gene expression was used to build transcription profiles of 199 epigenetic factors in a wide range of blood cells. Our epigenetic transcriptome analysis revealed cell type- (eg, HELLS and ACTL6A), lineage- (eg, MLL), and/or leukemia- (eg, CHD2, CBX8, and EPC1) specific expression of several epigenetic factors. In addition, we show that several epigenetic factors use alternative transcription start sites in different cell types. This analysis could serve as a resource for the scientific community for further characterization of the role of these epigenetic factors in blood development. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Italy | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 77 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 25% |
| Researcher | 13 | 16% |
| Professor > Associate Professor | 8 | 10% |
| Other | 6 | 8% |
| Student > Master | 6 | 8% |
| Other | 16 | 20% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 45% |
| Biochemistry, Genetics and Molecular Biology | 19 | 24% |
| Medicine and Dentistry | 10 | 13% |
| Computer Science | 2 | 3% |
| Nursing and Health Professions | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 12 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 24 April 2014.
All research outputs
#1,339,879
of 25,371,288 outputs
Outputs from Blood
#1,067
of 33,239 outputs
Outputs of similar age
#13,075
of 238,075 outputs
Outputs of similar age from Blood
#15
of 260 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,239 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 96% 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 238,075 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 94% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.