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Sequence Motifs in MADS Transcription Factors Responsible for Specificity and Diversification of Protein-Protein Interaction

Overview of attention for article published in PLoS Computational Biology, November 2010
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
94 Mendeley
citeulike
4 CiteULike
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Title
Sequence Motifs in MADS Transcription Factors Responsible for Specificity and Diversification of Protein-Protein Interaction
Published in
PLoS Computational Biology, November 2010
DOI 10.1371/journal.pcbi.1001017
Pubmed ID
Authors

Aalt D. J. van Dijk, Giuseppa Morabito, Martijn Fiers, Roeland C. H. J. van Ham, Gerco C. Angenent, Richard G. H. Immink

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Japan 2 2%
Portugal 1 1%
United Kingdom 1 1%
Netherlands 1 1%
Spain 1 1%
Belgium 1 1%
Unknown 85 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 28%
Researcher 25 27%
Student > Master 8 9%
Professor > Associate Professor 6 6%
Student > Doctoral Student 5 5%
Other 16 17%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 67%
Biochemistry, Genetics and Molecular Biology 11 12%
Chemistry 4 4%
Social Sciences 1 1%
Unspecified 1 1%
Other 2 2%
Unknown 12 13%
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 15 January 2015.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#5,639
of 8,964 outputs
Outputs of similar age
#57,113
of 188,733 outputs
Outputs of similar age from PLoS Computational Biology
#28
of 54 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 188,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.