↓ Skip to main content

GRASP2: fast and memory-efficient gene-centric assembly and homolog search for metagenomic sequencing data

Overview of attention for article published in BMC Bioinformatics, June 2019
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
29 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
GRASP2: fast and memory-efficient gene-centric assembly and homolog search for metagenomic sequencing data
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2818-1
Pubmed ID
Authors

Cuncong Zhong, Youngik Yang, Shibu Yooseph

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 31%
Student > Ph. D. Student 4 14%
Student > Master 3 10%
Professor > Associate Professor 2 7%
Professor 2 7%
Other 3 10%
Unknown 6 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 34%
Biochemistry, Genetics and Molecular Biology 4 14%
Computer Science 2 7%
Environmental Science 1 3%
Immunology and Microbiology 1 3%
Other 3 10%
Unknown 8 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 June 2019.
All research outputs
#2,868,492
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#892
of 7,506 outputs
Outputs of similar age
#59,837
of 356,300 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 192 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 88% 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 356,300 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 83% of its contemporaries.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.