↓ Skip to main content

A technical guide to TRITEX, a computational pipeline for chromosome-scale sequence assembly of plant genomes

Overview of attention for article published in Plant Methods, December 2022
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 1,249)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
69 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
6 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
A technical guide to TRITEX, a computational pipeline for chromosome-scale sequence assembly of plant genomes
Published in
Plant Methods, December 2022
DOI 10.1186/s13007-022-00964-1
Pubmed ID
Authors

Marina Püpke Marone, Harmeet Chawla Singh, Curtis J. Pozniak, Martin Mascher

X Demographics

X Demographics

The data shown below were collected from the profiles of 69 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 50%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 17 January 2023.
All research outputs
#904,467
of 25,303,733 outputs
Outputs from Plant Methods
#25
of 1,249 outputs
Outputs of similar age
#20,362
of 488,043 outputs
Outputs of similar age from Plant Methods
#2
of 31 outputs
Altmetric has tracked 25,303,733 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,249 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 98% 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 488,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.