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X Demographics
Mendeley readers
Attention Score in Context
Title |
RNA-seq analysis of single bovine blastocysts
|
---|---|
Published in |
BMC Genomics, May 2013
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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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
France | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 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 | 113 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 28% |
Researcher | 19 | 16% |
Student > Master | 19 | 16% |
Student > Bachelor | 7 | 6% |
Student > Doctoral Student | 7 | 6% |
Other | 21 | 18% |
Unknown | 13 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 70 | 59% |
Biochemistry, Genetics and Molecular Biology | 12 | 10% |
Veterinary Science and Veterinary Medicine | 6 | 5% |
Medicine and Dentistry | 6 | 5% |
Engineering | 4 | 3% |
Other | 7 | 6% |
Unknown | 14 | 12% |
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.