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Custom microarray construction and analysis for determining potential biomarkers of subchronic androgen exposure in the Eastern Mosquitofish (Gambusia holbrooki)

Overview of attention for article published in BMC Genomics, September 2013
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog

Citations

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12 Dimensions

Readers on

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19 Mendeley
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Title
Custom microarray construction and analysis for determining potential biomarkers of subchronic androgen exposure in the Eastern Mosquitofish (Gambusia holbrooki)
Published in
BMC Genomics, September 2013
DOI 10.1186/1471-2164-14-660
Pubmed ID
Authors

Erica K Brockmeier, Fahong Yu, David Moraga Amador, Timothy A Bargar, Nancy D Denslow

Abstract

The eastern mosquitofish (Gambusia holbrooki) has the potential to become a bioindicator organism of endocrine disrupting chemicals (EDCs) due to its androgen-driven secondary sexual characteristics. However, the lack of molecular information on G. holbrooki hinders its use as a bioindicator coupled with biomarker data. While traditional gene-by-gene approaches provide insight for biomarker development, a holistic analysis would provide more rapid and expansive determination of potential biomarkers. The objective of this study was to develop and utilize a mosquitofish microarray to determine potential biomarkers of subchronic androgen exposure. To achieve this objective, two specific aims were developed: 1) Sequence a G. holbrooki cDNA library, and 2) Use microarray analysis to determine genes that are differentially regulated by subchronic androgen exposure in hepatic tissues of 17β-trenbolone (TB) exposed adult female G. holbrooki.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Student > Bachelor 3 16%
Other 2 11%
Student > Ph. D. Student 2 11%
Professor 1 5%
Other 2 11%
Unknown 3 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 37%
Biochemistry, Genetics and Molecular Biology 4 21%
Environmental Science 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Engineering 1 5%
Other 0 0%
Unknown 3 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 September 2013.
All research outputs
#5,850,615
of 22,723,682 outputs
Outputs from BMC Genomics
#2,413
of 10,626 outputs
Outputs of similar age
#51,071
of 204,835 outputs
Outputs of similar age from BMC Genomics
#24
of 146 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 204,835 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 74% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.