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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Identifying Bacterial Strains from Sequencing Data
|
---|---|
Chapter number | 1 |
Book title |
Data Mining for Systems Biology
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8561-6_1 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8560-9, 978-1-4939-8561-6
|
Authors |
Tommi Mäklin, Jukka Corander, Antti Honkela, Mäklin, Tommi, Corander, Jukka, Honkela, Antti |
Abstract |
Environmental and clinical settings can host a wide variety of both bacterial species and strains in a single colony but accurate identification of the organisms is difficult. We describe BIB, a probabilistic method for estimating the relative abundances of species or strains contained in mixed samples analyzed by short read high-throughput sequencing. By grouping closely related strains together in clusters, the BIB pipeline is capable of estimating the relative abundances of the clusters contained in a sequencing sample. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | 33% |
France | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Scientists | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 43% |
Student > Bachelor | 2 | 29% |
Librarian | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 29% |
Agricultural and Biological Sciences | 1 | 14% |
Computer Science | 1 | 14% |
Immunology and Microbiology | 1 | 14% |
Sports and Recreations | 1 | 14% |
Other | 1 | 14% |
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 01 August 2018.
All research outputs
#15,540,879
of 23,096,849 outputs
Outputs from Methods in molecular biology
#5,412
of 13,208 outputs
Outputs of similar age
#270,149
of 442,670 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 44th percentile – i.e., 44% 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 442,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.