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Nuclear Pore-Like Structures in a Compartmentalized Bacterium

Overview of attention for article published in PLOS ONE, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
3 news outlets
blogs
5 blogs
twitter
47 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
81 Mendeley
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Title
Nuclear Pore-Like Structures in a Compartmentalized Bacterium
Published in
PLOS ONE, February 2017
DOI 10.1371/journal.pone.0169432
Pubmed ID
Authors

Evgeny Sagulenko, Amanda Nouwens, Richard I. Webb, Kathryn Green, Benjamin Yee, Garry Morgan, Andrew Leis, Kuo-Chang Lee, Margaret K. Butler, Nicholas Chia, Uyen Thi Phuong Pham, Stinus Lindgreen, Ryan Catchpole, Anthony M. Poole, John A. Fuerst

Abstract

Planctomycetes are distinguished from other Bacteria by compartmentalization of cells via internal membranes, interpretation of which has been subject to recent debate regarding potential relations to Gram-negative cell structure. In our interpretation of the available data, the planctomycete Gemmata obscuriglobus contains a nuclear body compartment, and thus possesses a type of cell organization with parallels to the eukaryote nucleus. Here we show that pore-like structures occur in internal membranes of G.obscuriglobus and that they have elements structurally similar to eukaryote nuclear pores, including a basket, ring-spoke structure, and eight-fold rotational symmetry. Bioinformatic analysis of proteomic data reveals that some of the G. obscuriglobus proteins associated with pore-containing membranes possess structural domains found in eukaryote nuclear pore complexes. Moreover, immunogold labelling demonstrates localization of one such protein, containing a β-propeller domain, specifically to the G. obscuriglobus pore-like structures. Finding bacterial pores within internal cell membranes and with structural similarities to eukaryote nuclear pore complexes raises the dual possibilities of either hitherto undetected homology or stunning evolutionary convergence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 47 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Czechia 1 1%
Germany 1 1%
Canada 1 1%
Unknown 77 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Student > Bachelor 13 16%
Student > Master 10 12%
Researcher 8 10%
Other 5 6%
Other 14 17%
Unknown 16 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 30%
Agricultural and Biological Sciences 19 23%
Immunology and Microbiology 7 9%
Computer Science 3 4%
Nursing and Health Professions 2 2%
Other 8 10%
Unknown 18 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 12 May 2017.
All research outputs
#510,845
of 25,732,188 outputs
Outputs from PLOS ONE
#7,023
of 224,077 outputs
Outputs of similar age
#11,054
of 427,096 outputs
Outputs of similar age from PLOS ONE
#167
of 4,212 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,077 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 96% 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 427,096 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 4,212 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.