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X Demographics
Mendeley readers
Attention Score in Context
| Title |
First molecular characterization of Echinococcus granulosus (sensu stricto) genotype 1 among cattle in Sudan
|
|---|---|
| Published in |
BMC Veterinary Research, February 2018
|
| DOI | 10.1186/s12917-018-1348-9 |
| Pubmed ID | |
| Authors |
Mohamed E. Ahmed, Bashir Salim, Martin P. Grobusch, Imadeldin E. Aradaib |
| Abstract |
Echinococcus granulosus sensu lato (s.l.) is the causative agent of cystic echinococcosis (CE), which is a cosmopolitan zoonotic parasitic disease infecting humans and a wide range of mammalian species including cattle. Currently, little information is available on the genetic diversity of Echinococcus species among livestock in Sudan. In the present study, fifty (n = 50) hydatid cysts were collected from cattle carcasses (one cyst sample per animal) at Al-kadarou slaughterhouse, Khartoum North, Sudan. DNA was extracted from protoscolices and the germinal layer of each cyst and subsequently amplified by PCR targeting the mitochondrial NADH dehydrogenase subunit 1 (NADH-1) gene. The amplified PCR products were purified and subjected to direct sequencing for subsequent construction of phylogenetic tree and net work analysis. The phylogenetic tree revealed the presence of Echinococcus canadenesis genotype 6 (G6) in 44 cysts (88.0%), Echinococcus ortleppi genotype 5 (G5) in 4 cysts (8.0%) and Echinococcus granulosus sensu stricto (s.s) genotype 1 (G1) in 2 cysts (4.0%). The phylogenetic network analysis revealed genetic variation among the different haplotypes/genotypes. This report has provided, for the first time, an insight of the role of cattle in the transmission of the zoonotic G1 echinococosis. The results of the study illustrate that Sudanese breeds of cattle may play an important role in the transmission dynamics and the epidemiology of cystic echinococcosis in Sudan. This study reports the first molecular identification of E. granulosus s.s. in cattle in Central Sudan. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 23% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 3 | 10% |
| Lecturer | 2 | 7% |
| Professor | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Agricultural and Biological Sciences | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 40% |
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 18 September 2018.
All research outputs
#17,929,042
of 23,020,670 outputs
Outputs from BMC Veterinary Research
#1,691
of 3,065 outputs
Outputs of similar age
#309,571
of 440,103 outputs
Outputs of similar age from BMC Veterinary Research
#55
of 88 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,065 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 36th percentile – i.e., 36% 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 440,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.