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Enhancement of cell proliferation in various mammalian cell lines by gene insertion of a cyclin-dependent kinase homolog

Overview of attention for article published in BMC Biotechnology, October 2007
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Mentioned by

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1 Wikipedia page

Citations

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50 Dimensions

Readers on

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66 Mendeley
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Title
Enhancement of cell proliferation in various mammalian cell lines by gene insertion of a cyclin-dependent kinase homolog
Published in
BMC Biotechnology, October 2007
DOI 10.1186/1472-6750-7-71
Pubmed ID
Authors

Pratik Jaluria, Michael Betenbaugh, Konstantinos Konstantopoulos, Joseph Shiloach

Abstract

Genomics tools, particularly DNA microarrays, have found application in a number of areas including gene discovery and disease characterization. Despite the vast utility of these tools, little work has been done to explore the basis of distinct cellular properties, especially those important to biotechnology such as growth. And so, with the intent of engineering cell lines by manipulating the expression of these genes, anchorage-independent and anchorage-dependent HeLa cells, displaying markedly different growth characteristics, were analyzed using DNA microarrays.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
United States 1 2%
Portugal 1 2%
Slovenia 1 2%
Unknown 62 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 23%
Student > Bachelor 11 17%
Student > Master 11 17%
Student > Ph. D. Student 7 11%
Other 4 6%
Other 8 12%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 33%
Biochemistry, Genetics and Molecular Biology 20 30%
Medicine and Dentistry 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Chemistry 2 3%
Other 2 3%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 April 2008.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from BMC Biotechnology
#427
of 935 outputs
Outputs of similar age
#25,427
of 75,553 outputs
Outputs of similar age from BMC Biotechnology
#5
of 12 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 37th percentile – i.e., 37% 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 75,553 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.