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Thyroid hormone-regulated gene expression in juvenile mouse liver: identification of thyroid response elements using microarray profiling and in silico analyses

Overview of attention for article published in BMC Genomics, December 2011
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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52 Mendeley
Title
Thyroid hormone-regulated gene expression in juvenile mouse liver: identification of thyroid response elements using microarray profiling and in silico analyses
Published in
BMC Genomics, December 2011
DOI 10.1186/1471-2164-12-634
Pubmed ID
Authors

Martin A Paquette, Hongyan Dong, Rémi Gagné, Andrew Williams, Morie Malowany, Mike G Wade, Carole L Yauk

Abstract

Disruption of thyroid hormone signalling can alter growth, development and energy metabolism. Thyroid hormones exert their effects through interactions with thyroid receptors that directly bind thyroid response elements and can alter transcriptional activity of target genes. The effects of short-term thyroid hormone perturbation on hepatic mRNA transcription in juvenile mice were evaluated, with the goal of identifying genes containing active thyroid response elements. Thyroid hormone disruption was induced from postnatal day 12 to 15 by adding goitrogens to dams' drinking water (hypothyroid). A subgroup of thyroid hormone-disrupted pups received intraperitoneal injections of replacement thyroid hormones four hours prior to sacrifice (replacement). An additional group received only thyroid hormones four hours prior to sacrifice (hyperthyroid). Hepatic mRNA was extracted and hybridized to Agilent mouse microarrays.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 23%
Professor > Associate Professor 7 13%
Student > Master 6 12%
Student > Bachelor 5 10%
Professor 5 10%
Other 9 17%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 37%
Biochemistry, Genetics and Molecular Biology 8 15%
Medicine and Dentistry 6 12%
Environmental Science 2 4%
Psychology 2 4%
Other 7 13%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 2012.
All research outputs
#12,852,556
of 22,661,413 outputs
Outputs from BMC Genomics
#4,549
of 10,612 outputs
Outputs of similar age
#142,683
of 243,631 outputs
Outputs of similar age from BMC Genomics
#130
of 294 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 243,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 294 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.