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De Novo sequencing and transcriptome analysis for Tetramorium bicarinatum: a comprehensive venom gland transcriptome analysis from an ant species

Overview of attention for article published in BMC Genomics, November 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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
2 tweeters
patent
2 patents

Citations

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30 Dimensions

Readers on

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68 Mendeley
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Title
De Novo sequencing and transcriptome analysis for Tetramorium bicarinatum: a comprehensive venom gland transcriptome analysis from an ant species
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-987
Pubmed ID
Authors

Wafa Bouzid, Marion Verdenaud, Christophe Klopp, Frédéric Ducancel, Céline Noirot, Angélique Vétillard

Abstract

Arthropod venoms are invaluable sources of bioactive substances with biotechnological application. The limited availability of some venoms, such as those from ants, has restricted the knowledge about the composition and the potential that these biomolecules could represent. In order to provide a global insight on the transcripts expressed in the venom gland of the Brazilian ant species Tetramorium bicarinatum and to unveil the potential of its products, high-throughput approach using Illumina technology has been applied to analyze the genes expressed in active venom glands of this ant species.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Sweden 1 1%
Denmark 1 1%
Brazil 1 1%
Unknown 64 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Researcher 7 10%
Student > Master 7 10%
Other 5 7%
Student > Bachelor 4 6%
Other 17 25%
Unknown 12 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 40%
Biochemistry, Genetics and Molecular Biology 11 16%
Unspecified 2 3%
Medicine and Dentistry 2 3%
Immunology and Microbiology 2 3%
Other 4 6%
Unknown 20 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2020.
All research outputs
#3,131,782
of 16,614,363 outputs
Outputs from BMC Genomics
#1,468
of 9,099 outputs
Outputs of similar age
#57,198
of 311,699 outputs
Outputs of similar age from BMC Genomics
#32
of 193 outputs
Altmetric has tracked 16,614,363 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,099 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 83% 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 311,699 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 81% of its contemporaries.
We're also able to compare this research output to 193 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.