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High-coverage sequencing and annotated assemblies of the budgerigar genome

Overview of attention for article published in Giga Science, July 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
4 blogs
twitter
25 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
125 Mendeley
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Title
High-coverage sequencing and annotated assemblies of the budgerigar genome
Published in
Giga Science, July 2014
DOI 10.1186/2047-217x-3-11
Pubmed ID
Authors

Ganeshkumar Ganapathy, Jason T Howard, James M Ward, Jianwen Li, Bo Li, Yingrui Li, Yingqi Xiong, Yong Zhang, Shiguo Zhou, David C Schwartz, Michael Schatz, Robert Aboukhalil, Olivier Fedrigo, Lisa Bukovnik, Ty Wang, Greg Wray, Isabelle Rasolonjatovo, Roger Winer, James R Knight, Sergey Koren, Wesley C Warren, Guojie Zhang, Adam M Phillippy, Erich D Jarvis

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Hong Kong 2 2%
Germany 1 <1%
Indonesia 1 <1%
Australia 1 <1%
South Africa 1 <1%
Korea, Republic of 1 <1%
Taiwan 1 <1%
United Kingdom 1 <1%
Other 2 2%
Unknown 112 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 21%
Researcher 26 21%
Student > Bachelor 16 13%
Student > Master 16 13%
Other 11 9%
Other 20 16%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 57%
Biochemistry, Genetics and Molecular Biology 23 18%
Computer Science 7 6%
Veterinary Science and Veterinary Medicine 2 2%
Neuroscience 2 2%
Other 10 8%
Unknown 10 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 November 2021.
All research outputs
#972,014
of 25,806,080 outputs
Outputs from Giga Science
#134
of 1,182 outputs
Outputs of similar age
#9,100
of 241,220 outputs
Outputs of similar age from Giga Science
#4
of 6 outputs
Altmetric has tracked 25,806,080 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 1,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. 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 241,220 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 96% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.