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Attention Score in Context
Title |
Suitable housekeeping genes for normalization of transcript abundance analysis by real-time RT-PCR in cultured bovine granulosa cells during hypoxia and differential cell plating density
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Published in |
Reproductive Biology and Endocrinology, November 2014
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DOI | 10.1186/1477-7827-12-118 |
Pubmed ID | |
Authors |
Vijay S Baddela, Anja Baufeld, Vengala R Yenuganti, Jens Vanselow, Dheer Singh |
Abstract |
Bovine granulosa cell culture models are important to understand molecular mechanisms of ovarian function. Folliculogenesis and luteinization are associated with increasing density of cells and local hypoxic conditions. The current study identified two reliable housekeeping genes useful for gene normalization in granulosa cells under different in vitro conditions. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Russia | 1 | 2% |
Unknown | 64 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 17 | 26% |
Student > Ph. D. Student | 11 | 17% |
Student > Master | 9 | 14% |
Researcher | 7 | 11% |
Professor | 3 | 5% |
Other | 11 | 17% |
Unknown | 7 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 26 | 40% |
Biochemistry, Genetics and Molecular Biology | 13 | 20% |
Veterinary Science and Veterinary Medicine | 3 | 5% |
Engineering | 3 | 5% |
Medicine and Dentistry | 3 | 5% |
Other | 6 | 9% |
Unknown | 11 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 November 2014.
All research outputs
#20,245,139
of 22,772,779 outputs
Outputs from Reproductive Biology and Endocrinology
#834
of 972 outputs
Outputs of similar age
#303,027
of 361,861 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#14
of 16 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 972 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 361,861 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.