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Timeline
Mendeley readers
Attention Score in Context
Chapter title |
Visualizing Genomic Data Using Gviz and Bioconductor
|
---|---|
Chapter number | 16 |
Book title |
Statistical Genomics
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3578-9_16 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3576-5, 978-1-4939-3578-9
|
Authors |
Florian Hahne, Robert Ivanek, Hahne, Florian, Ivanek, Robert |
Editors |
Ewy Mathé, Sean Davis |
Abstract |
The Gviz package offers a flexible framework to visualize genomic data in the context of a variety of different genome annotation features. Being tightly embedded in the Bioconductor genomics landscape, it nicely integrates with the existing infrastructure, but also provides direct data retrieval from external sources like Ensembl and UCSC and supports most of the commonly used annotation file types. Through carefully chosen default settings the package greatly facilitates the production of publication-ready figures of genomic loci, while still maintaining high flexibility due to its ample customization options. |
Mendeley readers
The data shown below were compiled from readership statistics for 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Italy | 1 | <1% |
Brazil | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 295 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 91 | 30% |
Student > Master | 43 | 14% |
Researcher | 42 | 14% |
Student > Bachelor | 28 | 9% |
Student > Doctoral Student | 14 | 5% |
Other | 25 | 8% |
Unknown | 57 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 105 | 35% |
Agricultural and Biological Sciences | 78 | 26% |
Medicine and Dentistry | 19 | 6% |
Computer Science | 7 | 2% |
Neuroscience | 7 | 2% |
Other | 23 | 8% |
Unknown | 61 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 April 2024.
All research outputs
#4,425,335
of 25,874,560 outputs
Outputs from Methods in molecular biology
#1,112
of 14,394 outputs
Outputs of similar age
#68,436
of 401,759 outputs
Outputs of similar age from Methods in molecular biology
#155
of 1,467 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,394 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 92% 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 401,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 1,467 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.