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Multi-tissue transcriptomics of the black widow spider reveals expansions, co-options, and functional processes of the silk gland gene toolkit

Overview of attention for article published in BMC Genomics, June 2014
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

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72 Dimensions

Readers on

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76 Mendeley
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Title
Multi-tissue transcriptomics of the black widow spider reveals expansions, co-options, and functional processes of the silk gland gene toolkit
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-365
Pubmed ID
Authors

Thomas H Clarke, Jessica E Garb, Cheryl Y Hayashi, Robert A Haney, Alexander K Lancaster, Susan Corbett, Nadia A Ayoub

Abstract

Spiders (Order Araneae) are essential predators in every terrestrial ecosystem largely because they have evolved potent arsenals of silk and venom. Spider silks are high performance materials made almost entirely of proteins, and thus represent an ideal system for investigating genome level evolution of novel protein functions. However, genomic level resources remain limited for spiders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
United Kingdom 1 1%
Spain 1 1%
Japan 1 1%
United States 1 1%
Unknown 71 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 25%
Researcher 12 16%
Student > Bachelor 11 14%
Student > Master 8 11%
Student > Doctoral Student 7 9%
Other 10 13%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 46%
Biochemistry, Genetics and Molecular Biology 20 26%
Chemistry 3 4%
Materials Science 2 3%
Medicine and Dentistry 2 3%
Other 4 5%
Unknown 10 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 16 October 2014.
All research outputs
#3,156,043
of 24,542,484 outputs
Outputs from BMC Genomics
#1,095
of 11,006 outputs
Outputs of similar age
#30,772
of 233,534 outputs
Outputs of similar age from BMC Genomics
#19
of 209 outputs
Altmetric has tracked 24,542,484 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,006 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 233,534 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 209 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 91% of its contemporaries.