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Mendeley readers
Attention Score in Context
Title |
A comprehensive evaluation of ensembl, RefSeq, and UCSC annotations in the context of RNA-seq read mapping and gene quantification
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Published in |
BMC Genomics, February 2015
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DOI | 10.1186/s12864-015-1308-8 |
Pubmed ID | |
Authors |
Shanrong Zhao, Baohong Zhang |
Abstract |
RNA-Seq has become increasingly popular in transcriptome profiling. One aspect of transcriptome research is to quantify the expression levels of genomic elements, such as genes, their transcripts and exons. Acquiring a transcriptome expression profile requires genomic elements to be defined in the context of the genome. Multiple human genome annotation databases exist, including RefGene (RefSeq Gene), Ensembl, and the UCSC annotation database. The impact of the choice of an annotation on estimating gene expression remains insufficiently investigated. |
X Demographics
The data shown below were collected from the profiles of 21 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 | 5 | 24% |
United Kingdom | 2 | 10% |
Japan | 2 | 10% |
Slovenia | 1 | 5% |
Canada | 1 | 5% |
Switzerland | 1 | 5% |
Uruguay | 1 | 5% |
Germany | 1 | 5% |
France | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 15 | 71% |
Members of the public | 6 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 535 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 2% |
United Kingdom | 4 | <1% |
Germany | 2 | <1% |
Japan | 2 | <1% |
Spain | 2 | <1% |
Italy | 2 | <1% |
Brazil | 2 | <1% |
New Zealand | 2 | <1% |
Sweden | 1 | <1% |
Other | 10 | 2% |
Unknown | 495 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 129 | 24% |
Researcher | 127 | 24% |
Student > Master | 69 | 13% |
Student > Bachelor | 42 | 8% |
Student > Doctoral Student | 28 | 5% |
Other | 71 | 13% |
Unknown | 69 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 189 | 35% |
Biochemistry, Genetics and Molecular Biology | 147 | 27% |
Computer Science | 29 | 5% |
Medicine and Dentistry | 26 | 5% |
Immunology and Microbiology | 10 | 2% |
Other | 50 | 9% |
Unknown | 84 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 22 February 2019.
All research outputs
#1,761,181
of 25,728,855 outputs
Outputs from BMC Genomics
#355
of 11,311 outputs
Outputs of similar age
#21,337
of 269,769 outputs
Outputs of similar age from BMC Genomics
#7
of 262 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,311 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 269,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.