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Genome-wide functional analysis using the barcode sequence alignment and statistical analysis (Barcas) tool

Overview of attention for article published in BMC Bioinformatics, December 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
37 Mendeley
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Title
Genome-wide functional analysis using the barcode sequence alignment and statistical analysis (Barcas) tool
Published in
BMC Bioinformatics, December 2016
DOI 10.1186/s12859-016-1326-9
Pubmed ID
Authors

Jihyeob Mun, Dong-Uk Kim, Kwang-Lae Hoe, Seon-Young Kim

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Ph. D. Student 7 19%
Student > Bachelor 5 14%
Student > Master 5 14%
Student > Doctoral Student 3 8%
Other 7 19%
Unknown 3 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 41%
Agricultural and Biological Sciences 8 22%
Immunology and Microbiology 3 8%
Engineering 2 5%
Computer Science 2 5%
Other 4 11%
Unknown 3 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 February 2022.
All research outputs
#7,571,329
of 23,090,520 outputs
Outputs from BMC Bioinformatics
#3,047
of 7,325 outputs
Outputs of similar age
#140,898
of 421,083 outputs
Outputs of similar age from BMC Bioinformatics
#52
of 136 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,325 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 421,083 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.