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Risk factors of different hemoplasma species infections in cats

Overview of attention for article published in BMC Veterinary Research, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 2,816)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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49 tweeters

Citations

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19 Dimensions

Readers on

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61 Mendeley
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Title
Risk factors of different hemoplasma species infections in cats
Published in
BMC Veterinary Research, February 2017
DOI 10.1186/s12917-017-0953-3
Pubmed ID
Authors

Michèle Bergmann, Theresa Englert, Bianca Stuetzer, Jennifer R. Hawley, Michael R. Lappin, Katrin Hartmann

Abstract

Hemoplasma species (spp.) commonly cause infections in cats worldwide. However, data on risk factors for infections are limited. The aim of this study was to determine the prevalence of hemoplasma spp. infections in cats in Southern Germany and to assess risk factors associated with infection. DNA was extracted from blood samples of 479 cats presented to different veterinary hospitals for various reasons. DNA of feline hemoplasmas was amplified by use of a previously reported PCR assay. Direct sequencing was used to confirm all purified amplicons and compared to hemoplasma sequences reported in GenBank. Results were evaluated in relation to the age, sex, housing conditions, feline leukemia virus (FeLV) and feline immunodeficiency virus (FIV) status of the cats. The overall hemoplasma prevalence rate was 9.4% (45/479; 95% CI: 7.08-12.36). 'Candidatus Mycoplasma (M.) haemominutum' (Mhm) DNA was amplified from 42 samples, M. haemofelis from 2, and M. haemocanis from 1 sample. There was a significantly higher risk of hemoplasma infection in cats from multi-cat households, in outdoor cats, as well as in cats with FIVinfection and in cats with abortive FeLV infection, but not in cats with progressive or regressive FeLV infection. Mhm infection is common in cats in Southern Germany. Higher prevalence in multi-cat households and associations with FeLV infection likely reflect the potential for direct transmission amongst cats. Outdoor access, male gender, and FIV infection are additional risk factors that might relate to aggressive interactions and exposure to vectors.

Twitter Demographics

The data shown below were collected from the profiles of 49 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 18%
Student > Ph. D. Student 5 8%
Researcher 5 8%
Student > Master 5 8%
Other 4 7%
Other 11 18%
Unknown 20 33%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 26 43%
Biochemistry, Genetics and Molecular Biology 6 10%
Medicine and Dentistry 2 3%
Environmental Science 1 2%
Unspecified 1 2%
Other 4 7%
Unknown 21 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 13 June 2018.
All research outputs
#789,631
of 21,009,751 outputs
Outputs from BMC Veterinary Research
#36
of 2,816 outputs
Outputs of similar age
#18,293
of 276,587 outputs
Outputs of similar age from BMC Veterinary Research
#1
of 21 outputs
Altmetric has tracked 21,009,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,816 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 98% 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 276,587 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.