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Mendeley readers
Attention Score in Context
| Title |
Identification of Novel Protein-Protein Interactions of Yersinia pestis Type III Secretion System by Yeast Two Hybrid System
|
|---|---|
| Published in |
PLOS ONE, January 2013
|
| DOI | 10.1371/journal.pone.0054121 |
| Pubmed ID | |
| Authors |
Huiying Yang, Yafang Tan, Tingting Zhang, Liujun Tang, Jian Wang, Yuehua Ke, Zhaobiao Guo, Xiaoming Yang, Ruifu Yang, Zongmin Du |
| Abstract |
Type III secretion system (T3SS) of the plague bacterium Y. pestis encodes a syringe-like structure consisting of more than 20 proteins, which can inject virulence effectors into host cells to modulate the cellular functions. Here in this report, interactions among the possible components in T3SS of Yersinia pestis were identified using yeast mating technique. A total of 57 genes, including all the pCD1-encoded genes except those involved in plasmid replication and partition, pseudogenes, and the putative transposase genes, were subjected to yeast mating analysis. 21 pairs of interaction proteins were identified, among which 9 pairs had been previously reported and 12 novel pairs were identified in this study. Six of them were tested by GST pull down assay, and interaction pairs of YscG-SycD, YscG-TyeA, YscI-YscF, and YopN-YpCD1.09c were successfully validated, suggesting that these interactions might play potential roles in function of Yersinia T3SS. Several potential new interactions among T3SS components could help to understand the assembly and regulation of Yersinia T3SS. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Madagascar | 1 | 2% |
| Unknown | 43 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 27% |
| Researcher | 8 | 18% |
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Other | 6 | 13% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 44% |
| Biochemistry, Genetics and Molecular Biology | 12 | 27% |
| Immunology and Microbiology | 2 | 4% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 5 | 11% |
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 29 January 2013.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from PLOS ONE
#172,890
of 193,729 outputs
Outputs of similar age
#246,524
of 279,188 outputs
Outputs of similar age from PLOS ONE
#4,152
of 5,005 outputs
Altmetric has tracked 22,694,633 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 193,729 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 279,188 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 5,005 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.