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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
A new simple method for introducing an unmarked mutation into a large gene of non-competent Gram-negative bacteria by FLP/FRT recombination
|
|---|---|
| Published in |
BMC Microbiology, January 2013
|
| DOI | 10.1186/1471-2180-13-86 |
| Pubmed ID | |
| Authors |
Masahito Ishikawa, Katsutoshi Hori |
| Abstract |
For the disruption of a target gene in molecular microbiology, unmarked mutagenesis is preferable to marked mutagenesis because the former method raises no concern about the polar effect and leaves no selection marker. In contrast to naturally competent bacteria, there is no useful method for introducing an unmarked mutation into a large gene of non-competent bacteria. Nevertheless, large genes encoding huge proteins exist in diverse bacteria and are interesting and important for physiology and potential applications. Here we present a new method for introducing an unmarked mutation into such large genes of non-competent Gram-negative bacteria. |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 1% |
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 80 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 25% |
| Student > Ph. D. Student | 15 | 18% |
| Researcher | 10 | 12% |
| Student > Bachelor | 8 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Other | 14 | 17% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 37% |
| Biochemistry, Genetics and Molecular Biology | 23 | 28% |
| Immunology and Microbiology | 6 | 7% |
| Medicine and Dentistry | 3 | 4% |
| Computer Science | 3 | 4% |
| Other | 6 | 7% |
| Unknown | 11 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 15 November 2016.
All research outputs
#6,415,838
of 24,353,295 outputs
Outputs from BMC Microbiology
#667
of 3,350 outputs
Outputs of similar age
#64,941
of 289,463 outputs
Outputs of similar age from BMC Microbiology
#26
of 97 outputs
Altmetric has tracked 24,353,295 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,350 research outputs from this source. They receive a mean Attention Score of 4.2. 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 289,463 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 77% of its contemporaries.
We're also able to compare this research output to 97 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 74% of its contemporaries.