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Oxford University Press

Initial data release and announcement of the 10,000 Fish Genomes Project (Fish10K)

Overview of attention for article published in Giga Science, August 2020
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
49 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
90 Mendeley
Title
Initial data release and announcement of the 10,000 Fish Genomes Project (Fish10K)
Published in
Giga Science, August 2020
DOI 10.1093/gigascience/giaa080
Pubmed ID
Authors

Guangyi Fan, Yue Song, Liandong Yang, Xiaoyun Huang, Suyu Zhang, Mengqi Zhang, Xianwei Yang, Yue Chang, He Zhang, Yongxin Li, Shanshan Liu, Lili Yu, Jeffery Chu, Inge Seim, Chenguang Feng, Thomas J Near, Rod A Wing, Wen Wang, Kun Wang, Jing Wang, Xun Xu, Huanming Yang, Xin Liu, Nansheng Chen, Shunping He

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 20%
Student > Ph. D. Student 14 16%
Student > Doctoral Student 10 11%
Student > Master 10 11%
Student > Bachelor 3 3%
Other 11 12%
Unknown 24 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 27%
Biochemistry, Genetics and Molecular Biology 17 19%
Environmental Science 5 6%
Computer Science 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 6 7%
Unknown 34 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 July 2023.
All research outputs
#1,360,971
of 25,920,652 outputs
Outputs from Giga Science
#218
of 1,184 outputs
Outputs of similar age
#37,335
of 428,963 outputs
Outputs of similar age from Giga Science
#6
of 28 outputs
Altmetric has tracked 25,920,652 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,184 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 81% 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 428,963 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 91% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.