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Consistency, comprehensiveness, and compatibility of pathway databases

Overview of attention for article published in BMC Bioinformatics, September 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
142 Mendeley
citeulike
30 CiteULike
Title
Consistency, comprehensiveness, and compatibility of pathway databases
Published in
BMC Bioinformatics, September 2010
DOI 10.1186/1471-2105-11-449
Pubmed ID
Authors

Donny Soh, Difeng Dong, Yike Guo, Limsoon Wong

Abstract

It is necessary to analyze microarray experiments together with biological information to make better biological inferences. We investigate the adequacy of current biological databases to address this need.

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 6%
United Kingdom 6 4%
Spain 4 3%
Netherlands 3 2%
Germany 2 1%
Russia 2 1%
Mexico 1 <1%
Belgium 1 <1%
China 1 <1%
Other 4 3%
Unknown 109 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 38%
Student > Ph. D. Student 36 25%
Student > Master 13 9%
Other 8 6%
Professor 7 5%
Other 21 15%
Unknown 3 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 50%
Computer Science 25 18%
Biochemistry, Genetics and Molecular Biology 16 11%
Medicine and Dentistry 6 4%
Chemistry 4 3%
Other 12 8%
Unknown 8 6%

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 09 November 2010.
All research outputs
#1,404,655
of 3,627,846 outputs
Outputs from BMC Bioinformatics
#1,009
of 2,289 outputs
Outputs of similar age
#55,765
of 230,873 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 70 outputs
Altmetric has tracked 3,627,846 research outputs across all sources so far. This one has received more attention than most of these and is in the 60th percentile.
So far Altmetric has tracked 2,289 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 52% 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 230,873 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 75% of its contemporaries.
We're also able to compare this research output to 70 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.