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Mendeley readers
Attention Score in Context
Title |
Evaluation of genomic high-throughput sequencing data generated on Illumina HiSeq and Genome Analyzer systems
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Published in |
Genome Biology, November 2011
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DOI | 10.1186/gb-2011-12-11-r112 |
Pubmed ID | |
Authors |
André E Minoche, Juliane C Dohm, Heinz Himmelbauer |
Abstract |
The generation and analysis of high-throughput sequencing data are becoming a major component of many studies in molecular biology and medical research. Illumina's Genome Analyzer (GA) and HiSeq instruments are currently the most widely used sequencing devices. Here, we comprehensively evaluate properties of genomic HiSeq and GAIIx data derived from two plant genomes and one virus, with read lengths of 95 to 150 bases. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 20% |
United States | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 936 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 31 | 3% |
United Kingdom | 16 | 2% |
Germany | 12 | 1% |
Brazil | 7 | <1% |
Spain | 6 | <1% |
France | 4 | <1% |
Belgium | 3 | <1% |
Norway | 3 | <1% |
Italy | 3 | <1% |
Other | 31 | 3% |
Unknown | 820 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 244 | 26% |
Researcher | 235 | 25% |
Student > Master | 119 | 13% |
Student > Bachelor | 68 | 7% |
Other | 46 | 5% |
Other | 139 | 15% |
Unknown | 85 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 491 | 52% |
Biochemistry, Genetics and Molecular Biology | 140 | 15% |
Computer Science | 54 | 6% |
Medicine and Dentistry | 35 | 4% |
Environmental Science | 20 | 2% |
Other | 91 | 10% |
Unknown | 105 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 05 March 2024.
All research outputs
#996,094
of 25,377,790 outputs
Outputs from Genome Biology
#705
of 4,468 outputs
Outputs of similar age
#4,178
of 155,111 outputs
Outputs of similar age from Genome Biology
#3
of 38 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 84% 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 155,111 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 97% of its contemporaries.
We're also able to compare this research output to 38 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 94% of its contemporaries.