↓ Skip to main content

GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes

Overview of attention for article published in Genome Biology, September 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
1623 Dimensions

Readers on

mendeley
449 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes
Published in
Genome Biology, September 2020
DOI 10.1186/s13059-020-02154-5
Pubmed ID
Authors

Jian-Jun Jin, Wen-Bin Yu, Jun-Bo Yang, Yu Song, Claude W. dePamphilis, Ting-Shuang Yi, De-Zhu Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 449 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 449 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 19%
Researcher 59 13%
Student > Master 38 8%
Student > Bachelor 26 6%
Student > Doctoral Student 23 5%
Other 59 13%
Unknown 160 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 135 30%
Biochemistry, Genetics and Molecular Biology 85 19%
Environmental Science 18 4%
Unspecified 9 2%
Computer Science 5 1%
Other 18 4%
Unknown 179 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 October 2022.
All research outputs
#3,610,288
of 25,387,668 outputs
Outputs from Genome Biology
#2,486
of 4,470 outputs
Outputs of similar age
#90,305
of 425,532 outputs
Outputs of similar age from Genome Biology
#70
of 87 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 425,532 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 78% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.