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The FANTOM web resource: from mammalian transcriptional landscape to its dynamic regulation

Overview of attention for article published in Genome Biology, April 2009
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
patent
3 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
8 CiteULike
connotea
2 Connotea
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Title
The FANTOM web resource: from mammalian transcriptional landscape to its dynamic regulation
Published in
Genome Biology, April 2009
DOI 10.1186/gb-2009-10-4-r40
Pubmed ID
Authors

Hideya Kawaji, Jessica Severin, Marina Lizio, Andrew Waterhouse, Shintaro Katayama, Katharine M Irvine, David A Hume, Alistair RR Forrest, Harukazu Suzuki, Piero Carninci, Yoshihide Hayashizaki, Carsten O Daub

Abstract

In FANTOM4, an international collaborative research project, we collected a wide range of genome-scale data, including 24 million mRNA 5'-reads (CAGE tags) and microarray expression profiles along a differentiation time course of the human THP-1 cell line and under 52 systematic siRNA perturbations. In addition, data regarding chromatin status derived from ChIP-chip to elucidate the transcriptional regulatory interactions are included. Here we present these data to the research community as an integrated web resource.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
United States 2 2%
Russia 2 2%
Chile 1 <1%
Norway 1 <1%
Switzerland 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Australia 1 <1%
Other 1 <1%
Unknown 96 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 33%
Student > Ph. D. Student 31 28%
Professor 9 8%
Professor > Associate Professor 9 8%
Student > Master 5 5%
Other 8 7%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 56%
Biochemistry, Genetics and Molecular Biology 10 9%
Medicine and Dentistry 7 6%
Computer Science 4 4%
Neuroscience 3 3%
Other 8 7%
Unknown 16 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 13 October 2022.
All research outputs
#1,867,872
of 25,374,647 outputs
Outputs from Genome Biology
#1,558
of 4,467 outputs
Outputs of similar age
#5,337
of 106,726 outputs
Outputs of similar age from Genome Biology
#2
of 21 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 65% 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 106,726 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 95% of its contemporaries.
We're also able to compare this research output to 21 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 90% of its contemporaries.