↓ Skip to main content

Use of a cDNA microarray to analyse gene expression patterns in human cancer

Overview of attention for article published in Nature Genetics, December 1996
Altmetric Badge

About this Attention Score

  • In the top 25% 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 (98th percentile)

Mentioned by

blogs
2 blogs
policy
2 policy sources
twitter
1 X user
patent
209 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
1635 Dimensions

Readers on

mendeley
418 Mendeley
citeulike
8 CiteULike
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
Use of a cDNA microarray to analyse gene expression patterns in human cancer
Published in
Nature Genetics, December 1996
DOI 10.1038/ng1296-457
Pubmed ID
Abstract

The development and progression of cancer and the experimental reversal of tumorigenicity are accompanied by complex changes in patterns of gene expression. Microarrays of cDNA provide a powerful tool for studying these complex phenomena. The tumorigenic properties of a human melanoma cell line, UACC-903, can be suppressed by introduction of a normal human chromosome 6, resulting in a reduction of growth rate, restoration of contact inhibition, and suppression of both soft agar clonogenicity and tumorigenicity in nude mice. We used a high density microarray of 1,161 DNA elements to search for differences in gene expression associated with tumour suppression in this system. Fluorescent probes for hybridization were derived from two sources of cellular mRNA [UACC-903 and UACC-903(+6)] which were labelled with different fluors to provide a direct and internally controlled comparison of the mRNA levels corresponding to each arrayed gene. The fluorescence signals representing hybridization to each arrayed gene were analysed to determine the relative abundance in the two samples of mRNAs corresponding to each gene. Previously unrecognized alterations in the expression of specific genes provide leads for further investigation of the genetic basis of the tumorigenic phenotype of these cells.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 418 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
United Kingdom 3 <1%
Germany 2 <1%
Canada 2 <1%
Brazil 2 <1%
France 1 <1%
India 1 <1%
Switzerland 1 <1%
Portugal 1 <1%
Other 3 <1%
Unknown 389 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 109 26%
Researcher 77 18%
Student > Master 39 9%
Student > Bachelor 34 8%
Professor > Associate Professor 30 7%
Other 81 19%
Unknown 48 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 161 39%
Biochemistry, Genetics and Molecular Biology 72 17%
Medicine and Dentistry 40 10%
Computer Science 19 5%
Engineering 15 4%
Other 55 13%
Unknown 56 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 18 January 2024.
All research outputs
#1,293,833
of 25,837,817 outputs
Outputs from Nature Genetics
#2,002
of 7,613 outputs
Outputs of similar age
#1,011
of 93,309 outputs
Outputs of similar age from Nature Genetics
#1
of 57 outputs
Altmetric has tracked 25,837,817 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 7,613 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.4. This one has gotten more attention than average, scoring higher than 73% 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 93,309 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 57 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 98% of its contemporaries.