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Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies

Overview of attention for article published in Giga Science, May 2016
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
42 tweeters
peer_reviews
1 peer review site
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Readers on

mendeley
61 Mendeley
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Title
Fish-T1K (Transcriptomes of 1,000 Fishes) Project: large-scale transcriptome data for fish evolution studies
Published in
Giga Science, May 2016
DOI 10.1186/s13742-016-0124-7
Pubmed ID
Authors

Ying Sun, Yu Huang, Xiaofeng Li, Carole C. Baldwin, Zhuocheng Zhou, Zhixiang Yan, Keith A. Crandall, Yong Zhang, Xiaomeng Zhao, Min Wang, Alex Wong, Chao Fang, Xinhui Zhang, Hai Huang, Jose V. Lopez, Kirk Kilfoyle, Yong Zhang, Guillermo Ortí, Byrappa Venkatesh, Qiong Shi

Abstract

Ray-finned fishes (Actinopterygii) represent more than 50 % of extant vertebrates and are of great evolutionary, ecologic and economic significance, but they are relatively underrepresented in 'omics studies. Increased availability of transcriptome data for these species will allow researchers to better understand changes in gene expression, and to carry out functional analyses. An international project known as the "Transcriptomes of 1,000 Fishes" (Fish-T1K) project has been established to generate RNA-seq transcriptome sequences for 1,000 diverse species of ray-finned fishes. The first phase of this project has produced transcriptomes from more than 180 ray-finned fishes, representing 142 species and covering 51 orders and 109 families. Here we provide an overview of the goals of this project and the work done so far.

Twitter Demographics

The data shown below were collected from the profiles of 42 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Ph. D. Student 10 16%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Professor 5 8%
Other 6 10%
Unknown 17 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 30%
Biochemistry, Genetics and Molecular Biology 13 21%
Computer Science 5 8%
Environmental Science 2 3%
Business, Management and Accounting 1 2%
Other 2 3%
Unknown 20 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 28 March 2023.
All research outputs
#860,079
of 23,628,742 outputs
Outputs from Giga Science
#128
of 1,076 outputs
Outputs of similar age
#16,043
of 300,058 outputs
Outputs of similar age from Giga Science
#3
of 12 outputs
Altmetric has tracked 23,628,742 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 1,076 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. 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 300,058 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 94% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.