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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a real-time reverse transcription loop-mediated isothermal amplification method for the rapid detection of porcine epidemic diarrhea virus
|
|---|---|
| Published in |
Virology Journal, May 2015
|
| DOI | 10.1186/s12985-015-0297-1 |
| Pubmed ID | |
| Authors |
Xuewu Yu, Lin Shi, Xiaoping Lv, Wei Yao, Minghui Cao, Hanxun Yu, Xiurong Wang, Shimin Zheng |
| Abstract |
Porcine epidemic diarrhea (PED) is an acute and highly contagious enteric disease characterized by severe enteritis, vomiting and watery diarrhea in swine. Recently, the outbreak of the epidemic disease has been a serious problem in swine industry. The objective of this study is to develop a rapid, sensitive, and real-time reverse transcription loop-mediated isothermal amplification (RT-LAMP) method for the detection of porcine epidemic diarrhea virus (PEDV) in less equipped laboratories. The optimal reaction condition of the current real-time RT-LAMP for PEDV was 62 °C for 45 min. It was capable of detecting PEDV from clinical samples and differentiating PEDV from several related porcine viruses, while it did not require additional expensive equipment. The minimum detection limit of the real-time RT-LAMP assay was 0.07PFU per reaction for PEDV RNA, making this assay approximately 100-fold more sensitive than that of one-step RT-PCR. By screening a panel of clinical specimens, the results showed that this method presented a similar sensitivity with real-time RT-PCR and was somewhat sensitive than one-step RT-PCR in detection of clinical samples. In this study, we have developed a new real-time RT-LAMP method, which is rapid, sensitive and efficient to detect PEDV.This method holds great promises not only in laboratory detection and discrimination of PEDV but also in large scale field and clinical studies. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 21% |
| Student > Master | 7 | 18% |
| Student > Bachelor | 5 | 13% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 21% |
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Veterinary Science and Veterinary Medicine | 6 | 16% |
| Medicine and Dentistry | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 9 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 November 2021.
All research outputs
#4,143,378
of 23,806,312 outputs
Outputs from Virology Journal
#401
of 3,138 outputs
Outputs of similar age
#50,771
of 265,711 outputs
Outputs of similar age from Virology Journal
#9
of 50 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,138 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 87% 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 265,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.