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Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategies

Overview of attention for article published in Genome Biology, March 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 4,532)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
19 news outlets
blogs
7 blogs
twitter
227 X users
facebook
3 Facebook pages
wikipedia
4 Wikipedia pages
googleplus
5 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
426 Dimensions

Readers on

mendeley
440 Mendeley
citeulike
6 CiteULike
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Title
Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategies
Published in
Genome Biology, March 2014
DOI 10.1186/gb-2014-15-3-r59
Pubmed ID
Authors

David B Neale, Jill L Wegrzyn, Kristian A Stevens, Aleksey V Zimin, Daniela Puiu, Marc W Crepeau, Charis Cardeno, Maxim Koriabine, Ann E Holtz-Morris, John D Liechty, Pedro J Martínez-García, Hans A Vasquez-Gross, Brian Y Lin, Jacob J Zieve, William M Dougherty, Sara Fuentes-Soriano, Le-Shin Wu, Don Gilbert, Guillaume Marçais, Michael Roberts, Carson Holt, Mark Yandell, John M Davis, Katherine E Smith, Jeffrey FD Dean, W Walter Lorenz, Ross W Whetten, Ronald Sederoff, Nicholas Wheeler, Patrick E McGuire, Doreen Main, Carol A Loopstra, Keithanne Mockaitis, Pieter J deJong, James A Yorke, Steven L Salzberg, Charles H Langley

Abstract

The size and complexity of conifer genomes has, until now, prevented full genome sequencing and assembly. The large research community and economic importance of loblolly pine, Pinus taeda L., made it an early candidate for reference sequence determination.

X Demographics

X Demographics

The data shown below were collected from the profiles of 227 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 440 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 3%
France 4 <1%
Spain 4 <1%
Canada 4 <1%
Norway 3 <1%
Germany 3 <1%
Switzerland 2 <1%
Belgium 2 <1%
Chile 1 <1%
Other 13 3%
Unknown 389 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 107 24%
Researcher 106 24%
Student > Master 39 9%
Professor > Associate Professor 26 6%
Other 23 5%
Other 85 19%
Unknown 54 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 255 58%
Biochemistry, Genetics and Molecular Biology 81 18%
Computer Science 11 3%
Environmental Science 6 1%
Earth and Planetary Sciences 2 <1%
Other 14 3%
Unknown 71 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 344. 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 12 November 2022.
All research outputs
#97,751
of 25,901,238 outputs
Outputs from Genome Biology
#22
of 4,532 outputs
Outputs of similar age
#736
of 237,002 outputs
Outputs of similar age from Genome Biology
#1
of 65 outputs
Altmetric has tracked 25,901,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,532 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. 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 237,002 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 99% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.