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Attention Score in Context
Chapter title |
Bioinformatic Analysis of Nucleosome and Histone Variant Positioning
|
---|---|
Chapter number | 10 |
Book title |
Histone Variants
|
Published in |
Methods in molecular biology, August 2018
|
DOI | 10.1007/978-1-4939-8663-7_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8662-0, 978-1-4939-8663-7
|
Authors |
Jakub Mieczkowski, Michael Y. Tolstorukov |
Abstract |
Assays profiling nucleosome positioning and occupancy are often coupled with high-throughput sequencing, which results in generation of large data sets. These data sets require processing in specialized computational pipelines to yield useful information. Here, we describe main steps of such a pipeline, and discuss bioinformatic and statistical aspects of assessing data quality, as well as data visualization and further analysis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 80% |
Student > Ph. D. Student | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 60% |
Agricultural and Biological Sciences | 1 | 20% |
Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 August 2018.
All research outputs
#20,529,173
of 23,098,660 outputs
Outputs from Methods in molecular biology
#9,977
of 13,208 outputs
Outputs of similar age
#288,846
of 331,034 outputs
Outputs of similar age from Methods in molecular biology
#156
of 193 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 331,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.