You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hypoxia inducible factor (HIF)-2α accelerates disease progression in mouse models of leukemia and lymphoma but is not a poor prognosis factor in human AML
|
|---|---|
| Published in |
Leukemia, April 2015
|
| DOI | 10.1038/leu.2015.102 |
| Pubmed ID | |
| Authors |
C E Forristal, A L Brown, F M Helwani, I G Winkler, B Nowlan, V Barbier, R J Powell, G A Engler, S M Diakiw, A C W Zannettino, S Martin, D Pattabiraman, R J D'Andrea, I D Lewis, J P Levesque |
| Abstract |
Hypoxia-inducible factor (HIF)-1α accumulation promotes hematopoietic stem cells quiescence and is necessary to maintain their self-renewal. However the role of HIF-2α in hematopoietic cells is less clear. We investigated the role of HIF-2α in leukemia and lymphoma cells. HIF-2α expression was high in subsets of human and mouse leukemia and lymphoma cells whereas it was low in normal bone marrow leukocytes. To investigate the role of HIF-2α, we transduced human HIF-2α cDNA in mouse syngeneic models of myeloid pre-leukemia and a transgenic model of B-lymphoma. Ectopic expression of HIF-2α accelerated leukemia cell proliferation in vitro. Mice transplanted with cells transduced with HIF-2α died significantly faster of leukemia or B-lymphoma than control mice transplanted with empty vector transduced cells. Conversely, HIF-2α knock-down in human myeloid leukemia HL60 cells decreased proliferation in vitro and significantly prolonged animal survival following transplantation. In human acute myeloid leukemia (AML), HIF-2α mRNA was significantly elevated in several subsets such as t(15;17), inv(16), complex karyotype and favorable cytogenetic groups. However patients with high HIF-2α expression had a trend to higher disease free survival in univariate analysis. The different effects of HIF-2α overexpression in mouse models of leukemia and human AML illustrates the complexity of this mutliclonal disease.Leukemia accepted article preview online, 29 April 2015. doi:10.1038/leu.2015.102. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 58 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 23% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Master | 5 | 8% |
| Other | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 22% |
| Medicine and Dentistry | 10 | 17% |
| Agricultural and Biological Sciences | 9 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 2 | 3% |
| Unknown | 20 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 October 2019.
All research outputs
#6,869,233
of 24,003,070 outputs
Outputs from Leukemia
#2,223
of 5,213 outputs
Outputs of similar age
#78,511
of 267,743 outputs
Outputs of similar age from Leukemia
#19
of 48 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,213 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has gotten more attention than average, scoring higher than 55% 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 267,743 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 48 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 58% of its contemporaries.