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WGDdetector: a pipeline for detecting whole genome duplication events using the genome or transcriptome annotations

Overview of attention for article published in BMC Bioinformatics, February 2019
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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)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
20 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
48 Mendeley
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Title
WGDdetector: a pipeline for detecting whole genome duplication events using the genome or transcriptome annotations
Published in
BMC Bioinformatics, February 2019
DOI 10.1186/s12859-019-2670-3
Pubmed ID
Authors

Yongzhi Yang, Ying Li, Qiao Chen, Yongshuai Sun, Zhiqiang Lu

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Researcher 9 19%
Student > Postgraduate 4 8%
Student > Bachelor 4 8%
Student > Master 3 6%
Other 7 15%
Unknown 11 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 44%
Biochemistry, Genetics and Molecular Biology 7 15%
Computer Science 4 8%
Sports and Recreations 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 13 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 February 2019.
All research outputs
#2,148,576
of 14,334,469 outputs
Outputs from BMC Bioinformatics
#910
of 5,382 outputs
Outputs of similar age
#69,490
of 328,079 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 42 outputs
Altmetric has tracked 14,334,469 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,382 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 82% 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 328,079 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 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.