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An improved bind-n-seq strategy to determine protein-DNA interactions validated using the bacterial transcriptional regulator YipR

Overview of attention for article published in BMC Microbiology, January 2020
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Mentioned by

twitter
2 tweeters

Citations

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33 Dimensions

Readers on

mendeley
14 Mendeley
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Title
An improved bind-n-seq strategy to determine protein-DNA interactions validated using the bacterial transcriptional regulator YipR
Published in
BMC Microbiology, January 2020
DOI 10.1186/s12866-019-1672-7
Pubmed ID
Authors

Shi-qi An, Miguel A. Valvano, Yan-hua Yu, Jeremy S. Webb, Guillermo Lopez Campos

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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Researcher 4 29%
Professor 2 14%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 43%
Agricultural and Biological Sciences 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Immunology and Microbiology 1 7%
Unknown 4 29%

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 04 January 2020.
All research outputs
#13,146,386
of 16,540,864 outputs
Outputs from BMC Microbiology
#1,710
of 2,520 outputs
Outputs of similar age
#277,051
of 382,416 outputs
Outputs of similar age from BMC Microbiology
#179
of 299 outputs
Altmetric has tracked 16,540,864 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,520 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 382,416 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 299 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.