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VTCdb: a gene co-expression database for the crop species Vitis vinifera (grapevine)

Overview of attention for article published in BMC Genomics, December 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
3 X users

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
85 Mendeley
citeulike
1 CiteULike
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Title
VTCdb: a gene co-expression database for the crop species Vitis vinifera (grapevine)
Published in
BMC Genomics, December 2013
DOI 10.1186/1471-2164-14-882
Pubmed ID
Authors

Darren CJ Wong, Crystal Sweetman, Damian P Drew, Christopher M Ford

Abstract

Gene expression datasets in model plants such as Arabidopsis have contributed to our understanding of gene function and how a single underlying biological process can be governed by a diverse network of genes. The accumulation of publicly available microarray data encompassing a wide range of biological and environmental conditions has enabled the development of additional capabilities including gene co-expression analysis (GCA). GCA is based on the understanding that genes encoding proteins involved in similar and/or related biological processes may exhibit comparable expression patterns over a range of experimental conditions, developmental stages and tissues. We present an open access database for the investigation of gene co-expression networks within the cultivated grapevine, Vitis vinifera.

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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
India 1 1%
Germany 1 1%
South Africa 1 1%
Unknown 81 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 28%
Student > Ph. D. Student 17 20%
Student > Master 8 9%
Student > Doctoral Student 6 7%
Professor > Associate Professor 6 7%
Other 12 14%
Unknown 12 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 58%
Biochemistry, Genetics and Molecular Biology 8 9%
Computer Science 4 5%
Nursing and Health Professions 2 2%
Engineering 2 2%
Other 5 6%
Unknown 15 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 05 March 2014.
All research outputs
#1,470,753
of 22,710,079 outputs
Outputs from BMC Genomics
#328
of 10,624 outputs
Outputs of similar age
#17,905
of 307,421 outputs
Outputs of similar age from BMC Genomics
#19
of 455 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 307,421 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 94% of its contemporaries.
We're also able to compare this research output to 455 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 95% of its contemporaries.