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pXST, a novel vector for TA cloning and blunt-end cloning

Overview of attention for article published in BMC Biotechnology, July 2018
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Mentioned by

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2 X users

Citations

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2 Dimensions

Readers on

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25 Mendeley
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Title
pXST, a novel vector for TA cloning and blunt-end cloning
Published in
BMC Biotechnology, July 2018
DOI 10.1186/s12896-018-0456-8
Pubmed ID
Authors

Qin Liu, Hui-Jie Dang, Yuan-Hang Wu, Min Li, Yin-Hua Chen, Xiao-Lei Niu, Kai-Mian Li, Li-Juan Luo

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Student > Bachelor 4 16%
Researcher 2 8%
Other 1 4%
Unspecified 1 4%
Other 3 12%
Unknown 9 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 24%
Agricultural and Biological Sciences 3 12%
Medicine and Dentistry 2 8%
Chemical Engineering 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 3 12%
Unknown 9 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2023.
All research outputs
#20,022,028
of 25,470,300 outputs
Outputs from BMC Biotechnology
#773
of 984 outputs
Outputs of similar age
#249,674
of 340,296 outputs
Outputs of similar age from BMC Biotechnology
#9
of 11 outputs
Altmetric has tracked 25,470,300 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 984 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 18th percentile – i.e., 18% 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 340,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.