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MetaMapp: mapping and visualizing metabolomic data by integrating information from biochemical pathways and chemical and mass spectral similarity

Overview of attention for article published in BMC Bioinformatics, May 2012
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
12 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
209 Dimensions

Readers on

mendeley
270 Mendeley
citeulike
1 CiteULike
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Title
MetaMapp: mapping and visualizing metabolomic data by integrating information from biochemical pathways and chemical and mass spectral similarity
Published in
BMC Bioinformatics, May 2012
DOI 10.1186/1471-2105-13-99
Pubmed ID
Authors

Dinesh K Barupal, Pradeep K Haldiya, Gert Wohlgemuth, Tobias Kind, Shanker L Kothari, Kent E Pinkerton, Oliver Fiehn

Abstract

Exposure to environmental tobacco smoke (ETS) leads to higher rates of pulmonary diseases and infections in children. To study the biochemical changes that may precede lung diseases, metabolomic effects on fetal and maternal lungs and plasma from rats exposed to ETS were compared to filtered air control animals. Genome- reconstructed metabolic pathways may be used to map and interpret dysregulation in metabolic networks. However, mass spectrometry-based non-targeted metabolomics datasets often comprise many metabolites for which links to enzymatic reactions have not yet been reported. Hence, network visualizations that rely on current biochemical databases are incomplete and also fail to visualize novel, structurally unidentified metabolites.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Netherlands 2 <1%
Brazil 2 <1%
Switzerland 1 <1%
Panama 1 <1%
Germany 1 <1%
Portugal 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Other 6 2%
Unknown 249 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 26%
Researcher 60 22%
Student > Master 28 10%
Student > Doctoral Student 13 5%
Student > Bachelor 13 5%
Other 50 19%
Unknown 36 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 33%
Biochemistry, Genetics and Molecular Biology 34 13%
Chemistry 25 9%
Computer Science 20 7%
Medicine and Dentistry 17 6%
Other 38 14%
Unknown 47 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 02 November 2020.
All research outputs
#3,991,259
of 22,665,794 outputs
Outputs from BMC Bioinformatics
#1,543
of 7,247 outputs
Outputs of similar age
#27,420
of 163,779 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 104 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,247 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 done well, scoring higher than 78% 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 163,779 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 83% of its contemporaries.
We're also able to compare this research output to 104 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 73% of its contemporaries.