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Comparative transcriptomics of early dipteran development

Overview of attention for article published in BMC Genomics, January 2013
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
15 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
84 Mendeley
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Title
Comparative transcriptomics of early dipteran development
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-123
Pubmed ID
Authors

Eva Jiménez-Guri, Jaime Huerta-Cepas, Luca Cozzuto, Karl R Wotton, Hui Kang, Heinz Himmelbauer, Guglielmo Roma, Toni Gabaldón, Johannes Jaeger

Abstract

Modern sequencing technologies have massively increased the amount of data available for comparative genomics. Whole-transcriptome shotgun sequencing (RNA-seq) provides a powerful basis for comparative studies. In particular, this approach holds great promise for emerging model species in fields such as evolutionary developmental biology (evo-devo).

Twitter Demographics

The data shown below were collected from the profiles of 15 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
United Kingdom 2 2%
Brazil 1 1%
France 1 1%
Australia 1 1%
Chile 1 1%
South Africa 1 1%
Germany 1 1%
Taiwan 1 1%
Other 3 4%
Unknown 70 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 30%
Student > Ph. D. Student 22 26%
Student > Master 11 13%
Student > Bachelor 10 12%
Other 3 4%
Other 9 11%
Unknown 4 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 68%
Biochemistry, Genetics and Molecular Biology 13 15%
Computer Science 5 6%
Chemical Engineering 1 1%
Immunology and Microbiology 1 1%
Other 2 2%
Unknown 5 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 30 June 2013.
All research outputs
#1,131,429
of 12,373,620 outputs
Outputs from BMC Genomics
#542
of 7,313 outputs
Outputs of similar age
#14,445
of 141,930 outputs
Outputs of similar age from BMC Genomics
#3
of 26 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 92% 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 141,930 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 89% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.