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Cephalopod genomics: A plan of strategies and organization

Overview of attention for article published in Standards in Genomic Sciences, September 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 566)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

news
3 news outlets
blogs
3 blogs
twitter
13 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
2 CiteULike
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Title
Cephalopod genomics: A plan of strategies and organization
Published in
Standards in Genomic Sciences, September 2012
DOI 10.4056/sigs.3136559
Pubmed ID
Authors

Caroline B. Albertin, Laure Bonnaud, C. Titus Brown, Wendy J. Crookes-Goodson, Rute R. da Fonseca, Carlo Di Cristo, Brian P. Dilkes, Eric Edsinger-Gonzales, Robert M. Freeman, Roger T. Hanlon, Kristen M. Koenig, Annie R. Lindgren, Mark Q. Martindale, Patrick Minx, Leonid L. Moroz, Marie-Therese Nödl, Spencer V. Nyholm, Atsushi Ogura, Judit R. Pungor, Joshua J. C. Rosenthal, Erich M. Schwarz, Shuichi Shigeno, Jan M. Strugnell, Tim Wollesen, Guojie Zhang, Clifton W. Ragsdale

Abstract

The Cephalopod Sequencing Consortium (CephSeq Consortium) was established at a NESCent Catalysis Group Meeting, "Paths to Cephalopod Genomics- Strategies, Choices, Organization," held in Durham, North Carolina, USA on May 24-27, 2012. Twenty-eight participants representing nine countries (Austria, Australia, China, Denmark, France, Italy, Japan, Spain and the USA) met to address the pressing need for genome sequencing of cephalopod mollusks. This group, drawn from cephalopod biologists, neuroscientists, developmental and evolutionary biologists, materials scientists, bioinformaticians and researchers active in sequencing, assembling and annotating genomes, agreed on a set of cephalopod species of particular importance for initial sequencing and developed strategies and an organization (CephSeq Consortium) to promote this sequencing. The conclusions and recommendations of this meeting are described in this white paper.

Twitter Demographics

The data shown below were collected from the profiles of 13 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
Brazil 2 1%
Mexico 2 1%
United Kingdom 2 1%
France 1 <1%
Australia 1 <1%
Japan 1 <1%
Germany 1 <1%
Unknown 131 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 24%
Researcher 24 16%
Student > Bachelor 22 15%
Student > Master 17 11%
Professor > Associate Professor 9 6%
Other 25 17%
Unknown 16 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 55%
Biochemistry, Genetics and Molecular Biology 19 13%
Neuroscience 5 3%
Environmental Science 4 3%
Earth and Planetary Sciences 3 2%
Other 17 11%
Unknown 19 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 01 November 2017.
All research outputs
#534,517
of 21,339,655 outputs
Outputs from Standards in Genomic Sciences
#1
of 566 outputs
Outputs of similar age
#3,108
of 176,744 outputs
Outputs of similar age from Standards in Genomic Sciences
#1
of 4 outputs
Altmetric has tracked 21,339,655 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 566 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 99% 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 176,744 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 98% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them