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Gene transcription in sea otters (Enhydra lutris); development of a diagnostic tool for sea otter and ecosystem health

Overview of attention for article published in Molecular Ecology Resources, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
144 Mendeley
connotea
1 Connotea
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Title
Gene transcription in sea otters (Enhydra lutris); development of a diagnostic tool for sea otter and ecosystem health
Published in
Molecular Ecology Resources, August 2011
DOI 10.1111/j.1755-0998.2011.03060.x
Pubmed ID
Authors

LIZABETH BOWEN, A. KEITH MILES, MICHAEL MURRAY, MARTIN HAULENA, JUDY TUTTLE, WILLIAM VAN BONN, LANCE ADAMS, JAMES L. BODKIN, BRENDA BALLACHEY, JAMES ESTES, M. TIM TINKER, ROBIN KEISTER, JEFFREY L. STOTT

Abstract

Gene transcription analysis for diagnosing or monitoring wildlife health requires the ability to distinguish pathophysiological change from natural variation. Herein, we describe methodology for the development of quantitative real-time polymerase chain reaction (qPCR) assays to measure differential transcript levels of multiple immune function genes in the sea otter (Enhydra lutris); sea otter-specific qPCR primer sequences for the genes of interest are defined. We establish a 'reference' range of transcripts for each gene in a group of clinically healthy captive and free-ranging sea otters. The 10 genes of interest represent multiple physiological systems that play a role in immuno-modulation, inflammation, cell protection, tumour suppression, cellular stress response, xenobiotic metabolizing enzymes, antioxidant enzymes and cell-cell adhesion. The cycle threshold (C(T)) measures for most genes were normally distributed; the complement cytolysis inhibitor was the exception. The relative enumeration of multiple gene transcripts in simple peripheral blood samples expands the diagnostic capability currently available to assess the health of sea otters in situ and provides a better understanding of the state of their environment.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Indonesia 2 1%
Brazil 2 1%
Turkey 1 <1%
United Arab Emirates 1 <1%
Norway 1 <1%
Colombia 1 <1%
India 1 <1%
United Kingdom 1 <1%
Other 5 3%
Unknown 127 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 26%
Student > Ph. D. Student 23 16%
Student > Master 19 13%
Other 15 10%
Student > Bachelor 15 10%
Other 20 14%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 63%
Environmental Science 26 18%
Earth and Planetary Sciences 3 2%
Veterinary Science and Veterinary Medicine 3 2%
Medicine and Dentistry 2 1%
Other 5 3%
Unknown 15 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 November 2019.
All research outputs
#1,323,831
of 15,010,975 outputs
Outputs from Molecular Ecology Resources
#210
of 1,079 outputs
Outputs of similar age
#8,451
of 96,624 outputs
Outputs of similar age from Molecular Ecology Resources
#2
of 2 outputs
Altmetric has tracked 15,010,975 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,079 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. 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 96,624 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 91% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.