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Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data

Overview of attention for article published in BMC Bioinformatics, March 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
193 Dimensions

Readers on

mendeley
141 Mendeley
citeulike
5 CiteULike
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Title
Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data
Published in
BMC Bioinformatics, March 2009
DOI 10.1186/1471-2105-10-87
Pubmed ID
Authors

Navdeep Jaitly, Anoop Mayampurath, Kyle Littlefield, Joshua N Adkins, Gordon A Anderson, Richard D Smith

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 6%
South Africa 2 1%
Italy 1 <1%
Germany 1 <1%
Japan 1 <1%
Netherlands 1 <1%
Unknown 127 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 26%
Student > Ph. D. Student 32 23%
Student > Master 18 13%
Professor > Associate Professor 8 6%
Student > Doctoral Student 8 6%
Other 20 14%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 32%
Chemistry 29 21%
Computer Science 12 9%
Biochemistry, Genetics and Molecular Biology 11 8%
Medicine and Dentistry 4 3%
Other 15 11%
Unknown 25 18%
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 24 August 2022.
All research outputs
#7,594,984
of 23,153,849 outputs
Outputs from BMC Bioinformatics
#3,053
of 7,341 outputs
Outputs of similar age
#38,057
of 107,940 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 35 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 107,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.