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Automated seamless DNA co-transformation cloning with direct expression vectors applying positive or negative insert selection

Overview of attention for article published in BMC Biotechnology, August 2010
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Mentioned by

patent
1 patent

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
72 Mendeley
citeulike
2 CiteULike
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Title
Automated seamless DNA co-transformation cloning with direct expression vectors applying positive or negative insert selection
Published in
BMC Biotechnology, August 2010
DOI 10.1186/1472-6750-10-56
Pubmed ID
Authors

Natacha Olieric, Melanie Kuchen, Sandro Wagen, Marion Sauter, Stephanie Crone, Sonia Edmondson, Daniel Frey, Christian Ostermeier, Michel O Steinmetz, Rolf Jaussi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 4%
United Kingdom 1 1%
France 1 1%
Uruguay 1 1%
Unknown 66 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 36%
Student > Ph. D. Student 12 17%
Student > Master 9 13%
Student > Bachelor 6 8%
Other 5 7%
Other 6 8%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 57%
Biochemistry, Genetics and Molecular Biology 15 21%
Chemistry 3 4%
Medicine and Dentistry 2 3%
Social Sciences 1 1%
Other 0 0%
Unknown 10 14%
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 31 January 2019.
All research outputs
#7,610,760
of 23,205,257 outputs
Outputs from BMC Biotechnology
#428
of 941 outputs
Outputs of similar age
#34,057
of 95,480 outputs
Outputs of similar age from BMC Biotechnology
#7
of 9 outputs
Altmetric has tracked 23,205,257 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 941 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 95,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.