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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Heterogeneous Family of Cyclomodulins: Smart Weapons That Allow Bacteria to Hijack the Eukaryotic Cell Cycle and Promote Infections
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, May 2017
|
| DOI | 10.3389/fcimb.2017.00208 |
| Pubmed ID | |
| Authors |
Rachid A. El-Aouar Filho, Aurélie Nicolas, Thiago L. De Paula Castro, Martine Deplanche, Vasco A. De Carvalho Azevedo, Pierre L. Goossens, Frédéric Taieb, Gerard Lina, Yves Le Loir, Nadia Berkova |
| Abstract |
Some bacterial pathogens modulate signaling pathways of eukaryotic cells in order to subvert the host response for their own benefit, leading to successful colonization and invasion. Pathogenic bacteria produce multiple compounds that generate favorable conditions to their survival and growth during infection in eukaryotic hosts. Many bacterial toxins can alter the cell cycle progression of host cells, impairing essential cellular functions and impeding host cell division. This review summarizes current knowledge regarding cyclomodulins, a heterogeneous family of bacterial effectors that induce eukaryotic cell cycle alterations. We discuss the mechanisms of actions of cyclomodulins according to their biochemical properties, providing examples of various cyclomodulins such as cycle inhibiting factor, γ-glutamyltranspeptidase, cytolethal distending toxins, shiga toxin, subtilase toxin, anthrax toxin, cholera toxin, adenylate cyclase toxins, vacuolating cytotoxin, cytotoxic necrotizing factor, Panton-Valentine leukocidin, phenol soluble modulins, and mycolactone. Special attention is paid to the benefit provided by cyclomodulins to bacteria during colonization of the host. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 19% |
| Student > Bachelor | 16 | 16% |
| Researcher | 8 | 8% |
| Student > Master | 8 | 8% |
| Student > Doctoral Student | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 39 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 34 | 33% |
| Agricultural and Biological Sciences | 9 | 9% |
| Immunology and Microbiology | 8 | 8% |
| Medicine and Dentistry | 5 | 5% |
| Engineering | 3 | 3% |
| Other | 5 | 5% |
| Unknown | 39 | 38% |
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 22 February 2018.
All research outputs
#18,548,834
of 22,973,051 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#4,886
of 6,474 outputs
Outputs of similar age
#238,962
of 313,690 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#142
of 182 outputs
Altmetric has tracked 22,973,051 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 6,474 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 6th percentile – i.e., 6% 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 313,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.