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Comparative gene expression between two yeast species

Overview of attention for article published in BMC Genomics, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
72 Mendeley
citeulike
3 CiteULike
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Title
Comparative gene expression between two yeast species
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-33
Pubmed ID
Authors

Yuanfang Guan, Maitreya J Dunham, Olga G Troyanskaya, Amy A Caudy

Abstract

Comparative genomics brings insight into sequence evolution, but even more may be learned by coupling sequence analyses with experimental tests of gene function and regulation. However, the reliability of such comparisons is often limited by biased sampling of expression conditions and incomplete knowledge of gene functions across species. To address these challenges, we previously systematically generated expression profiles in Saccharomyces bayanus to maximize functional coverage as compared to an existing Saccharomyces cerevisiae data repository.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 8%
Netherlands 1 1%
Slovakia 1 1%
Canada 1 1%
Taiwan 1 1%
France 1 1%
Mexico 1 1%
Slovenia 1 1%
Thailand 1 1%
Other 1 1%
Unknown 57 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 29%
Student > Ph. D. Student 20 28%
Professor > Associate Professor 6 8%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 11 15%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 56%
Biochemistry, Genetics and Molecular Biology 16 22%
Computer Science 4 6%
Physics and Astronomy 2 3%
Linguistics 1 1%
Other 2 3%
Unknown 7 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 25 January 2016.
All research outputs
#6,642,268
of 23,881,329 outputs
Outputs from BMC Genomics
#2,805
of 10,793 outputs
Outputs of similar age
#70,599
of 290,299 outputs
Outputs of similar age from BMC Genomics
#102
of 358 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% 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 290,299 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 75% of its contemporaries.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.