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A new method to customize protein expression vectors for fast, efficient and background free parallel cloning

Overview of attention for article published in BMC Biotechnology, February 2013
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
patent
2 patents

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
263 Mendeley
citeulike
1 CiteULike
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Title
A new method to customize protein expression vectors for fast, efficient and background free parallel cloning
Published in
BMC Biotechnology, February 2013
DOI 10.1186/1472-6750-13-12
Pubmed ID
Authors

Judith Scholz, Hüseyin Besir, Claudia Strasser, Sabine Suppmann

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Uruguay 1 <1%
Germany 1 <1%
Denmark 1 <1%
Ghana 1 <1%
Unknown 257 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 24%
Student > Ph. D. Student 61 23%
Student > Master 40 15%
Student > Bachelor 31 12%
Professor > Associate Professor 11 4%
Other 22 8%
Unknown 34 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 100 38%
Biochemistry, Genetics and Molecular Biology 95 36%
Chemistry 7 3%
Engineering 6 2%
Medicine and Dentistry 5 2%
Other 11 4%
Unknown 39 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 23 January 2024.
All research outputs
#3,785,607
of 23,435,471 outputs
Outputs from BMC Biotechnology
#192
of 945 outputs
Outputs of similar age
#41,111
of 291,228 outputs
Outputs of similar age from BMC Biotechnology
#3
of 19 outputs
Altmetric has tracked 23,435,471 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 945 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 79% 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 291,228 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.