↓ Skip to main content

Reducing the number of artifactual repeats in de novo assembly of RNA-Seq data by optimizing the assembly pipeline

Overview of attention for article published in Gene Reports, December 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 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
Reducing the number of artifactual repeats in de novo assembly of RNA-Seq data by optimizing the assembly pipeline
Published in
Gene Reports, December 2017
DOI 10.1016/j.genrep.2017.08.003
Authors

Wei-Kang Lee, Nur Afiza Mohd Zainuddin, Hui-Ying Teh, Yi-Yi Lim, Mohd Uzair Jaafar, Jia-Shiun Khoo, Ahmad-Kamal Ghazali, Parameswari Namasivayam, Janna Ong Abdullah, Chai-Ling Ho

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Master 3 25%
Student > Postgraduate 1 8%
Other 1 8%
Unknown 4 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 33%
Agricultural and Biological Sciences 2 17%
Computer Science 1 8%
Unknown 5 42%
Attention Score in Context

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 23 October 2017.
All research outputs
#15,481,888
of 23,006,268 outputs
Outputs from Gene Reports
#65
of 165 outputs
Outputs of similar age
#265,446
of 437,891 outputs
Outputs of similar age from Gene Reports
#1
of 1 outputs
Altmetric has tracked 23,006,268 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 165 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 37th percentile – i.e., 37% 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 437,891 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them