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pHUSH: a single vector system for conditional gene expression

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

patent
4 patents

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
52 Mendeley
citeulike
1 CiteULike
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Title
pHUSH: a single vector system for conditional gene expression
Published in
BMC Biotechnology, September 2007
DOI 10.1186/1472-6750-7-61
Pubmed ID
Authors

Daniel C Gray, Klaus P Hoeflich, Li Peng, Zhenyu Gu, Alvin Gogineni, Lesley J Murray, Mike Eby, Noelyn Kljavin, Somasekar Seshagiri, Mary J Cole, David P Davis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
France 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 33%
Student > Ph. D. Student 12 23%
Student > Bachelor 4 8%
Professor 4 8%
Professor > Associate Professor 3 6%
Other 8 15%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 54%
Biochemistry, Genetics and Molecular Biology 8 15%
Medicine and Dentistry 6 12%
Computer Science 2 4%
Neuroscience 2 4%
Other 1 2%
Unknown 5 10%
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 02 February 2017.
All research outputs
#7,550,194
of 23,033,713 outputs
Outputs from BMC Biotechnology
#428
of 940 outputs
Outputs of similar age
#25,279
of 71,828 outputs
Outputs of similar age from BMC Biotechnology
#3
of 10 outputs
Altmetric has tracked 23,033,713 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 940 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 71,828 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.