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pBAM1: an all-synthetic genetic tool for analysis and construction of complex bacterial phenotypes

Overview of attention for article published in BMC Microbiology, January 2011
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
2 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
215 Mendeley
citeulike
5 CiteULike
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Title
pBAM1: an all-synthetic genetic tool for analysis and construction of complex bacterial phenotypes
Published in
BMC Microbiology, January 2011
DOI 10.1186/1471-2180-11-38
Pubmed ID
Authors

Esteban Martínez-García, Belén Calles, Miguel Arévalo-Rodríguez, Víctor de Lorenzo

Abstract

Since publication in 1977 of plasmid pBR322, many breakthroughs in Biology have depended on increasingly sophisticated vector platforms for analysis and engineering of given bacterial strains. Although restriction sites impose a certain format in the procedures for assembling cloned genes, every attempt thus far to standardize vector architecture and nomenclature has ended up in failure. While this state of affairs may still be tolerable for traditional one-at-a-time studies of single genes, the onset of systems and synthetic biology calls for a simplification--along with an optimization--of the currently unwieldy pool of genetic tools.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 4 2%
Uruguay 2 <1%
United States 2 <1%
Brazil 2 <1%
Argentina 2 <1%
United Kingdom 2 <1%
Canada 1 <1%
Italy 1 <1%
Germany 1 <1%
Other 0 0%
Unknown 198 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 22%
Student > Ph. D. Student 47 22%
Student > Bachelor 38 18%
Student > Master 32 15%
Professor > Associate Professor 10 5%
Other 23 11%
Unknown 18 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 105 49%
Biochemistry, Genetics and Molecular Biology 59 27%
Immunology and Microbiology 9 4%
Engineering 6 3%
Environmental Science 3 1%
Other 9 4%
Unknown 24 11%

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 11 August 2020.
All research outputs
#8,347,571
of 15,824,164 outputs
Outputs from BMC Microbiology
#851
of 2,414 outputs
Outputs of similar age
#7,977,707
of 14,829,074 outputs
Outputs of similar age from BMC Microbiology
#850
of 2,413 outputs
Altmetric has tracked 15,824,164 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,414 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 63% 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 14,829,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,413 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.