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RNA-seq analysis of single bovine blastocysts

Overview of attention for article published in BMC Genomics, May 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
116 Mendeley
citeulike
2 CiteULike
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Title
RNA-seq analysis of single bovine blastocysts
Published in
BMC Genomics, May 2013
DOI 10.1186/1471-2164-14-350
Pubmed ID
Authors

James L Chitwood, Gonzalo Rincon, German G Kaiser, Juan F Medrano, Pablo J Ross

Abstract

Use of RNA-Seq presents unique benefits in terms of gene expression analysis because of its wide dynamic range and ability to identify functional sequence variants. This technology provides the opportunity to assay the developing embryo, but the paucity of biological material available from individual embryos has made this a challenging prospect.

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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
India 1 <1%
Japan 1 <1%
Canada 1 <1%
Unknown 110 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 28%
Researcher 19 16%
Student > Master 18 16%
Student > Doctoral Student 7 6%
Student > Bachelor 7 6%
Other 21 18%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 59%
Biochemistry, Genetics and Molecular Biology 12 10%
Veterinary Science and Veterinary Medicine 6 5%
Medicine and Dentistry 6 5%
Engineering 4 3%
Other 6 5%
Unknown 13 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2013.
All research outputs
#14,170,673
of 22,711,242 outputs
Outputs from BMC Genomics
#5,682
of 10,625 outputs
Outputs of similar age
#109,247
of 195,058 outputs
Outputs of similar age from BMC Genomics
#62
of 122 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,625 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 195,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.