↓ Skip to main content

Integrating phenotypic and expression profiles to map arsenic-response networks

Overview of attention for article published in Genome Biology, November 2004
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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

policy
1 policy source
patent
2 patents

Citations

dimensions_citation
162 Dimensions

Readers on

mendeley
128 Mendeley
citeulike
3 CiteULike
connotea
2 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
Integrating phenotypic and expression profiles to map arsenic-response networks
Published in
Genome Biology, November 2004
DOI 10.1186/gb-2004-5-12-r95
Pubmed ID
Authors

Astrid C Haugen, Ryan Kelley, Jennifer B Collins, Charles J Tucker, Changchun Deng, Cynthia A Afshari, J Martin Brown, Trey Ideker, Bennett Van Houten

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 6%
France 4 3%
Czechia 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Mexico 1 <1%
Canada 1 <1%
Spain 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 109 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 32%
Researcher 28 22%
Professor > Associate Professor 13 10%
Student > Bachelor 9 7%
Student > Doctoral Student 7 5%
Other 23 18%
Unknown 7 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 51%
Biochemistry, Genetics and Molecular Biology 21 16%
Computer Science 8 6%
Engineering 5 4%
Medicine and Dentistry 4 3%
Other 14 11%
Unknown 11 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 October 2014.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Genome Biology
#2,944
of 4,467 outputs
Outputs of similar age
#18,420
of 152,114 outputs
Outputs of similar age from Genome Biology
#10
of 27 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% 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 is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 152,114 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 81% of its contemporaries.
We're also able to compare this research output to 27 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 62% of its contemporaries.