↓ Skip to main content

Analysis of CATMA transcriptome data identifies hundreds of novel functional genes and improves gene models in the Arabidopsis genome

Overview of attention for article published in BMC Genomics, November 2007
Altmetric Badge

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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Analysis of CATMA transcriptome data identifies hundreds of novel functional genes and improves gene models in the Arabidopsis genome
Published in
BMC Genomics, November 2007
DOI 10.1186/1471-2164-8-401
Pubmed ID
Authors

Sébastien Aubourg, Marie-Laure Martin-Magniette, Véronique Brunaud, Ludivine Taconnat, Frédérique Bitton, Sandrine Balzergue, Pauline E Jullien, Mathieu Ingouff, Vincent Thareau, Thomas Schiex, Alain Lecharny, Jean-Pierre Renou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 38%
Student > Ph. D. Student 4 15%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Other 2 8%
Other 3 12%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 69%
Computer Science 3 12%
Mathematics 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 2 8%
Attention Score in Context

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 31 May 2020.
All research outputs
#4,835,465
of 25,373,627 outputs
Outputs from BMC Genomics
#1,877
of 11,244 outputs
Outputs of similar age
#14,438
of 89,098 outputs
Outputs of similar age from BMC Genomics
#3
of 34 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 82% 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 89,098 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 82% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.