↓ Skip to main content

Rhomboids of Mycobacteria: Characterization Using an aarA Mutant of Providencia stuartii and Gene Deletion in Mycobacterium smegmatis

Overview of attention for article published in PLOS ONE, September 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
54 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Rhomboids of Mycobacteria: Characterization Using an aarA Mutant of Providencia stuartii and Gene Deletion in Mycobacterium smegmatis
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0045741
Pubmed ID
Authors

David Patrick Kateete, Fred Ashaba Katabazi, Alfred Okeng, Moses Okee, Conrad Musinguzi, Benon Byamugisha Asiimwe, Samuel Kyobe, Jeniffer Asiimwe, W. Henry Boom, Moses Lutaakome Joloba

Abstract

Rhomboids are ubiquitous proteins with unknown roles in mycobacteria. However, bioinformatics suggested putative roles in DNA replication pathways and metabolite transport. Here, mycobacterial rhomboid-encoding genes were characterized; first, using the Providencia stuartii null-rhomboid mutant and then deleted from Mycobacterium smegmatis for additional insight in mycobacteria.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 22%
Researcher 9 17%
Student > Bachelor 8 15%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 3 6%
Other 6 11%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 35%
Biochemistry, Genetics and Molecular Biology 7 13%
Medicine and Dentistry 7 13%
Immunology and Microbiology 5 9%
Computer Science 3 6%
Other 4 7%
Unknown 9 17%
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 21 September 2012.
All research outputs
#20,166,700
of 22,678,224 outputs
Outputs from PLOS ONE
#172,730
of 193,568 outputs
Outputs of similar age
#151,914
of 170,728 outputs
Outputs of similar age from PLOS ONE
#3,817
of 4,259 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% 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 170,728 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,259 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.