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Phenotype characterization of embryoid body structures generated by a crystal comet effect tail in an intercellular cancer collision scenario

Overview of attention for article published in Cancer Management and Research, February 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 111)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
2 blogs
twitter
1 tweeter

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
10 Mendeley
Title
Phenotype characterization of embryoid body structures generated by a crystal comet effect tail in an intercellular cancer collision scenario
Published in
Cancer Management and Research, February 2012
DOI 10.2147/cmar.s25810
Pubmed ID
Authors

Diaz JA, Murillo MF

Abstract

Cancer is, by definition, the uncontrolled growth of autonomous cells that eventually destroy adjacent tissues and generate architectural disorder. However, this concept cannot be totally true. In three well documented studies, we have demonstrated that cancer tissues produce order zones that evolve over time and generate embryoid body structures in a space-time interval. The authors decided to revise the macroscopic and microscopic material in well-developed malignant tumors in which embryoid bodies were identified to determine the phenotype characterization that serves as a guideline for easy recognition. The factors responsible for this morphogenesis are physical, bioelectric, and magnetic susceptibilities produced by crystals that act as molecular designers for the topographic gradients that guide the surrounding silhouette and establish tissue head-tail positional identities. The structures are located in amniotic-like cavities and show characteristic somite-like embryologic segmentation. Immunophenotypic study has demonstrated exclusion factor positional identity in relation to enolase-immunopositive expression of embryoid body and human chorionic gonadotropin immunopositivity exclusion factor expression in the surrounding tissues. The significance of these observations is that they can also be predicted by experimental image data collected by the Large Hadron Collider (LHC) accelerator at the European Organization for Nuclear Research, in which two-beam subatomic collision particles in the resulting debris show hyperorder domains similar to those identified by us in intercellular cancer collisions. Our findings suggest that we are dealing with true reverse biologic system information in an activated collective cancer stem cell memory, in which physics participates in the elaboration of geometric complexes and chiral biomolecules that serve to build bodies with embryoid print as it develops during gestation. Reversal mechanisms in biology are intimately linked with DNA repair. Further genotype studies must be carried out to determine whether the subproducts of these structures can be used in novel strategies to treat cancer.

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 10%
United States 1 10%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 2 20%
Student > Bachelor 2 20%
Student > Master 2 20%
Professor > Associate Professor 1 10%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 4 40%
Agricultural and Biological Sciences 3 30%
Psychology 1 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Engineering 1 10%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 06 March 2014.
All research outputs
#212,000
of 4,739,589 outputs
Outputs from Cancer Management and Research
#3
of 111 outputs
Outputs of similar age
#3,534
of 76,214 outputs
Outputs of similar age from Cancer Management and Research
#1
of 18 outputs
Altmetric has tracked 4,739,589 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 111 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 97% 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 76,214 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 18 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.