↓ Skip to main content

Differential expression of HIF-1alpha in CD44+CD24-/low breast ductal carcinomas.

Overview of attention for article published in Diagnostic Pathology, August 2011
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
34 Mendeley
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.
Title
Differential expression of HIF-1alpha in CD44+CD24-/low breast ductal carcinomas.
Published in
Diagnostic Pathology, August 2011
DOI 10.1186/1746-1596-6-73
Pubmed ID
Authors

João Oliveira-Costa, Juliana S Zanetti, Giórgia G Silveira, Danilo F Soave, Lucinei R Oliveira, Verônica A Zorgetto, Fernando A Soares, Sérgio Zucoloto, Alfredo Ribeiro-Silva

Abstract

Cancer stem cell (CSC) hypothesis postulates that tumors are maintained by a self-renewing CSC population that is also capable of differentiating into non-self-renewing cell populations that constitute the bulk of tumor. Stem cells renewal and differentiation can be directly influenced by the oxygen levels of determined tissues, probably by the reduction of oxidative DNA damage in hypoxic regions, thus leading to a friendlier microenvironment, regarding to clonal expansion and for resistance to chemotherapeutic regimens. Furthermore, there have been strong data indicating a pivotal role of hypoxic niche in cancer stem cells development. There are evidence that hypoxia could drive the maintenance of CSC, via HIF-1α expression, but it still to be determined whether hypoxia markers are expressed in breast tumors presenting CD44+CD24-/low immunophenotype.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Postgraduate 5 15%
Student > Master 5 15%
Student > Bachelor 4 12%
Student > Ph. D. Student 4 12%
Other 7 21%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 13 38%
Agricultural and Biological Sciences 6 18%
Pharmacology, Toxicology and Pharmaceutical Science 4 12%
Engineering 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 2 6%
Unknown 5 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 August 2011.
All research outputs
#2,903,129
of 3,628,563 outputs
Outputs from Diagnostic Pathology
#299
of 393 outputs
Outputs of similar age
#38,442
of 55,733 outputs
Outputs of similar age from Diagnostic Pathology
#3
of 3 outputs
Altmetric has tracked 3,628,563 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 393 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 55,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.