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Etiology of acute respiratory disease in fattening pigs in Finland

Overview of attention for article published in Porcine Health Management, August 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#43 of 222)
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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2 Facebook pages

Citations

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18 Dimensions

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60 Mendeley
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Title
Etiology of acute respiratory disease in fattening pigs in Finland
Published in
Porcine Health Management, August 2017
DOI 10.1186/s40813-017-0065-2
Pubmed ID
Authors

Minna Haimi-Hakala, Outi Hälli, Tapio Laurila, Mirja Raunio-Saarnisto, Tiina Nokireki, Taina Laine, Suvi Nykäsenoja, Kirsti Pelkola, Joaquim Segales, Marina Sibila, Claudio Oliviero, Olli Peltoniemi, Sinikka Pelkonen, Mari Heinonen

Abstract

The objective of our study was to clinically and etiologically investigate acute outbreaks of respiratory disease in Finland. Our study also aimed to evaluate the clinical use of various methods in diagnosing respiratory infections under field conditions and to describe the antimicrobial resistance profile of the main bacterial pathogen(s) found during the study. A total of 20 case herds having finishing pigs showing acute respiratory symptoms and eight control herds showing no clinical signs suggesting of respiratory problems were enrolled in the study. Researchers visited each herd twice, examining and bleeding 20 pigs per herd. In addition, nasal swab samples were taken from 20 pigs and three pigs per case herd were necropsied during the first visit. Serology was used to detect Actinobacillus pleuropneumoniae (APP), swine influenza virus (SIV), porcine reproductive and respiratory syndrome virus (PRRSV), porcine respiratory coronavirus (PRCV) and Mycoplasma hyopneumoniae antibodies. Polymerase chain reaction (PCR) was used to investigate the presence of porcine circovirus type 2 (PCV2) in serum and SIV in the nasal and lung samples. Pathology and bacteriology, including antimicrobial resistance determination, were performed on lung samples obtained from the field necropsies. According to the pathology and bacteriology of the lung samples, APP and Ascaris suum were the main causes of respiratory outbreaks in 14 and three herds respectively, while the clinical signs in three other herds had a miscellaneous etiology. SIV, APP and PCV2 caused concurrent infections in certain herds but they were detected serologically or with PCR also in control herds, suggesting possible subclinical infections. APP was isolated from 16 (80%) case herds. Marked resistance was observed against tetracycline for APP, some resistance was detected against trimethoprim/sulfamethoxazole, ampicillin and penicillin, and no resistance against florfenicol, enrofloxacin, tulathromycin or tiamulin was found. Serology, even from paired serum samples, gave inconclusive results for acute APP infection diagnosis. APP was the most common cause for acute respiratory outbreaks in our study. SIV, A. suum, PCV2 and certain opportunistic bacteria were also detected during the outbreaks; however, viral pathogens appeared less important than bacteria. Necropsies supplemented with microbiology were the most efficient diagnostic methods in characterizing the studied outbreaks.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Ph. D. Student 8 13%
Student > Master 7 12%
Other 6 10%
Student > Doctoral Student 3 5%
Other 8 13%
Unknown 16 27%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 12 20%
Agricultural and Biological Sciences 8 13%
Biochemistry, Genetics and Molecular Biology 6 10%
Medicine and Dentistry 3 5%
Immunology and Microbiology 2 3%
Other 8 13%
Unknown 21 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 January 2018.
All research outputs
#6,060,270
of 23,011,300 outputs
Outputs from Porcine Health Management
#43
of 222 outputs
Outputs of similar age
#95,356
of 317,349 outputs
Outputs of similar age from Porcine Health Management
#3
of 7 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 222 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 80% 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 317,349 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 69% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.