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Hecaton: reliably detecting copy number variation in plant genomes using short read sequencing data

Overview of attention for article published in BMC Genomics, November 2019
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Hecaton: reliably detecting copy number variation in plant genomes using short read sequencing data
Published in
BMC Genomics, November 2019
DOI 10.1186/s12864-019-6153-8
Pubmed ID
Authors

Raúl Y. Wijfjes, Sandra Smit, Dick de Ridder

Twitter Demographics

The data shown below were collected from the profiles of 3 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Ph. D. Student 5 21%
Student > Master 3 13%
Student > Bachelor 2 8%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 6 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 29%
Biochemistry, Genetics and Molecular Biology 6 25%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Social Sciences 1 4%
Other 0 0%
Unknown 8 33%

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 13 November 2019.
All research outputs
#10,337,957
of 16,197,328 outputs
Outputs from BMC Genomics
#5,566
of 8,965 outputs
Outputs of similar age
#196,152
of 327,782 outputs
Outputs of similar age from BMC Genomics
#450
of 817 outputs
Altmetric has tracked 16,197,328 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,965 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 29th percentile – i.e., 29% 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 327,782 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 817 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.