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Characterization of a messenger RNA polynucleotide vaccine vector.

Overview of attention for article published in Cancer Research, April 1995
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
214 tweeters
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
147 Dimensions

Readers on

mendeley
114 Mendeley
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Title
Characterization of a messenger RNA polynucleotide vaccine vector.
Published in
Cancer Research, April 1995
Pubmed ID
Authors

Conry, R M, LoBuglio, A F, Wright, M, Sumerel, L, Pike, M J, Johanning, F, Benjamin, R, Lu, D, Curiel, D T, Robert M. Conry, Albert F. LoBuglio, Marci Wright, Lucretia Sumerel, M. Joyce Pike, Feng Johanning, Ren Benjamin, Dan Lu, David T. Curiel

Abstract

We have constructed mRNA transcripts encoding luciferase and human carcinoembryonic antigen (CEA) which are capped, polyadenylated, and stabilized by human beta-globin 5' and 3' untranslated regions. The mRNA construct encoding human CEA directed CEA expression in mouse fibroblasts in vitro following liposome-mediated transfection. The luciferase encoding mRNA transcripts mediated luciferase expression in vivo following i.m. injection. Based on the demonstration of protein expression in vitro and in vivo, the feasibility of using such a vector as a tumor vaccine was examined. In this pilot study, seven mice received 50 micrograms mRNA transcripts encoding CEA twice weekly for 5 weeks by i.m. injection followed by challenge with syngeneic, CEA-expressing tumor cells. This dose and schedule "primed" an immune response to CEA. Five of seven mRNA-immunized mice demonstrated anti-CEA antibody 3 weeks after tumor challenge whereas control mice had no evidence of antibody response. This strategy might be particularly useful to induce an immune response to a proto-oncogene product or growth factor which poses a risk of inducing malignant transformation consequent to prolonged protein expression.

Twitter Demographics

The data shown below were collected from the profiles of 214 tweeters 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 20%
Student > Bachelor 22 19%
Student > Master 15 13%
Researcher 12 11%
Other 4 4%
Other 9 8%
Unknown 29 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 21%
Agricultural and Biological Sciences 17 15%
Immunology and Microbiology 11 10%
Medicine and Dentistry 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 6%
Other 17 15%
Unknown 30 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 165. 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 22 September 2021.
All research outputs
#153,121
of 19,146,896 outputs
Outputs from Cancer Research
#74
of 16,063 outputs
Outputs of similar age
#3,919
of 279,050 outputs
Outputs of similar age from Cancer Research
#1
of 198 outputs
Altmetric has tracked 19,146,896 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,063 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 99% 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 279,050 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 98% of its contemporaries.
We're also able to compare this research output to 198 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 99% of its contemporaries.