↓ Skip to main content

MP-Align: Alignment of metabolic pathways

Overview of attention for article published in BMC Systems Biology, May 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
28 Mendeley
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
MP-Align: Alignment of metabolic pathways
Published in
BMC Systems Biology, May 2014
DOI 10.1186/1752-0509-8-58
Pubmed ID
Abstract

Comparing the metabolic pathways of different species is useful for understanding metabolic functions and can help in studying diseases and engineering drugs. Several comparison techniques for metabolic pathways have been introduced in the literature as a first attempt in this direction. The approaches are based on some simplified representation of metabolic pathways and on a related definition of a similarity score (or distance measure) between two pathways. More recent comparative research focuses on alignment techniques that can identify similar parts between pathways.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 7%
Iran, Islamic Republic of 1 4%
Switzerland 1 4%
Belgium 1 4%
United States 1 4%
Unknown 22 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 32%
Student > Master 4 14%
Professor 3 11%
Student > Ph. D. Student 3 11%
Student > Postgraduate 2 7%
Other 7 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 54%
Computer Science 5 18%
Biochemistry, Genetics and Molecular Biology 4 14%
Arts and Humanities 2 7%
Unspecified 1 4%
Other 1 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 June 2014.
All research outputs
#2,962,788
of 12,010,397 outputs
Outputs from BMC Systems Biology
#196
of 998 outputs
Outputs of similar age
#45,222
of 191,796 outputs
Outputs of similar age from BMC Systems Biology
#2
of 27 outputs
Altmetric has tracked 12,010,397 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 998 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 79% 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 191,796 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 76% 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 done well, scoring higher than 88% of its contemporaries.