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Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry

Overview of attention for article published in BMC Bioinformatics, March 2007
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
1 X user
patent
3 patents
q&a
1 Q&A thread

Citations

dimensions_citation
966 Dimensions

Readers on

mendeley
1132 Mendeley
citeulike
4 CiteULike
connotea
2 Connotea
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Title
Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry
Published in
BMC Bioinformatics, March 2007
DOI 10.1186/1471-2105-8-105
Pubmed ID
Authors

Tobias Kind, Oliver Fiehn

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 <1%
United Kingdom 6 <1%
Netherlands 5 <1%
Switzerland 4 <1%
Germany 4 <1%
Denmark 4 <1%
Spain 3 <1%
India 3 <1%
Sweden 3 <1%
Other 18 2%
Unknown 1071 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 304 27%
Researcher 217 19%
Student > Master 124 11%
Student > Doctoral Student 80 7%
Student > Bachelor 76 7%
Other 161 14%
Unknown 170 15%
Readers by discipline Count As %
Chemistry 341 30%
Agricultural and Biological Sciences 202 18%
Biochemistry, Genetics and Molecular Biology 123 11%
Environmental Science 75 7%
Engineering 40 4%
Other 124 11%
Unknown 227 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 17 August 2023.
All research outputs
#1,430,723
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#184
of 7,793 outputs
Outputs of similar age
#2,889
of 95,468 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 38 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 97% 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 95,468 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.