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The isolation and molecular characterization of Mycobacterium avium subsp. paratuberculosis in Shandong province, China

Overview of attention for article published in Gut Pathogens, March 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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3 X users

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Title
The isolation and molecular characterization of Mycobacterium avium subsp. paratuberculosis in Shandong province, China
Published in
Gut Pathogens, March 2016
DOI 10.1186/s13099-016-0092-6
Pubmed ID
Authors

Ruichao Yue, Chunfa Liu, Paul Barrow, Fei Liu, Yongyong Cui, Lifeng Yang, Deming Zhao, Xiangmei Zhou

Abstract

Mycobacterium avium subspecies paratuberculosis (Map) causes Johne's disease in domestic and wild ruminants. It has been a debate that whether Map can cause Crohn's disease in human. To our knowledge there is no report about molecular characterization of Map in China, although several Map strains have been reported in other country. The objectives of this study was to know the recent prevalence of Johne's disease in dairy farms in Shandong province, and have a better understanding of genotypic distribution of Map in China. Johne's disease was detected from 1038 individuals in 19 dairy farms by ELISA. Map in fecal and milk specimens was identified by Ziehl-Neelsen staining and confirmed using PCR-REA. In addition, frozen sections of ileum and mesenteric lymph nodes from two Map shedding cows were performed to observe the histopathological changes. Next-generation sequencing technology was performed to get whole genome sequences. A total of 121 (11.7 %) animals were positive for Map antibody from 1038 sera tested, and 11 (57.9 %) dairy herds were positive for Map antibody. Typically histopathologic changes were observed in mesenteric lymph nodes. We have successfully isolated two Map strains, which both were Map-C. The current genome-wide analysis showed that the genome size of our isolates are respectively 4,750,273 and 4,727,050 bp with a same G + C content of 69.3 %, and the numbers of single nucleotide polymorphisms (SNPs) against Map K-10 are respectively 292 and 296. Map is a prevalent pathogen among dairy cattle in China. This study successfully isolated two Map strains from one Chinese dairy herd with signs of diarrhoea, and identified that the two isolates were both Map-C. Furthermore, these isolates were most closely related to Map K-10.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Researcher 5 18%
Student > Bachelor 4 14%
Student > Doctoral Student 2 7%
Student > Ph. D. Student 2 7%
Other 3 11%
Unknown 6 21%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 8 29%
Agricultural and Biological Sciences 5 18%
Biochemistry, Genetics and Molecular Biology 4 14%
Immunology and Microbiology 4 14%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 March 2016.
All research outputs
#13,868,414
of 23,932,490 outputs
Outputs from Gut Pathogens
#191
of 552 outputs
Outputs of similar age
#144,482
of 303,692 outputs
Outputs of similar age from Gut Pathogens
#5
of 15 outputs
Altmetric has tracked 23,932,490 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 552 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 64% 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 303,692 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.