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Consensus and conflict cards for metabolic pathway databases

Overview of attention for article published in BMC Systems Biology, June 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
38 Mendeley
citeulike
4 CiteULike
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Title
Consensus and conflict cards for metabolic pathway databases
Published in
BMC Systems Biology, June 2013
DOI 10.1186/1752-0509-7-50
Pubmed ID
Authors

Stobbe MD, Swertz MA, Thiele I, Rengaw T, van Kampen AH, Moerland PD, Miranda D Stobbe, Morris A Swertz, Ines Thiele, Trebor Rengaw, Antoine HC van Kampen, Perry D Moerland

Abstract

The metabolic network of H. sapiens and many other organisms is described in multiple pathway databases. The level of agreement between these descriptions, however, has proven to be low. We can use these different descriptions to our advantage by identifying conflicting information and combining their knowledge into a single, more accurate, and more complete description. This task is, however, far from trivial.

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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 5%
Germany 1 3%
Italy 1 3%
Austria 1 3%
Unknown 33 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 47%
Student > Ph. D. Student 7 18%
Student > Master 4 11%
Student > Bachelor 2 5%
Student > Doctoral Student 2 5%
Other 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 50%
Biochemistry, Genetics and Molecular Biology 7 18%
Computer Science 4 11%
Medicine and Dentistry 3 8%
Chemical Engineering 2 5%
Other 1 3%
Unknown 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 October 2013.
All research outputs
#6,490,641
of 12,010,397 outputs
Outputs from BMC Systems Biology
#388
of 998 outputs
Outputs of similar age
#57,331
of 138,515 outputs
Outputs of similar age from BMC Systems Biology
#5
of 23 outputs
Altmetric has tracked 12,010,397 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 998 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 58% 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 138,515 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 23 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.