↓ Skip to main content

Integrative analysis of RUNX1 downstream pathways and target genes

Overview of attention for article published in BMC Genomics, July 2008
Altmetric Badge

Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
157 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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
Integrative analysis of RUNX1 downstream pathways and target genes
Published in
BMC Genomics, July 2008
DOI 10.1186/1471-2164-9-363
Pubmed ID
Authors

Joëlle Michaud, Ken M Simpson, Robert Escher, Karine Buchet-Poyau, Tim Beissbarth, Catherine Carmichael, Matthew E Ritchie, Frédéric Schütz, Ping Cannon, Marjorie Liu, Xiaofeng Shen, Yoshiaki Ito, Wendy H Raskind, Marshall S Horwitz, Motomi Osato, David R Turner, Terence P Speed, Maria Kavallaris, Gordon K Smyth, Hamish S Scott

Abstract

The RUNX1 transcription factor gene is frequently mutated in sporadic myeloid and lymphoid leukemia through translocation, point mutation or amplification. It is also responsible for a familial platelet disorder with predisposition to acute myeloid leukemia (FPD-AML). The disruption of the largely unknown biological pathways controlled by RUNX1 is likely to be responsible for the development of leukemia. We have used multiple microarray platforms and bioinformatic techniques to help identify these biological pathways to aid in the understanding of why RUNX1 mutations lead to leukemia.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 3 2%
France 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
Israel 1 <1%
Denmark 1 <1%
Mexico 1 <1%
Other 0 0%
Unknown 143 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 31%
Researcher 37 24%
Student > Bachelor 12 8%
Student > Master 9 6%
Professor 7 4%
Other 26 17%
Unknown 17 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 37%
Biochemistry, Genetics and Molecular Biology 32 20%
Medicine and Dentistry 21 13%
Computer Science 7 4%
Mathematics 4 3%
Other 15 10%
Unknown 20 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 November 2011.
All research outputs
#12,851,465
of 22,659,164 outputs
Outputs from BMC Genomics
#4,547
of 10,610 outputs
Outputs of similar age
#66,602
of 81,502 outputs
Outputs of similar age from BMC Genomics
#20
of 25 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,610 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 81,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.