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Re-visiting protein-centric two-tier classification of existing DNA-protein complexes

Overview of attention for article published in BMC Bioinformatics, July 2012
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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3 X users

Citations

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Title
Re-visiting protein-centric two-tier classification of existing DNA-protein complexes
Published in
BMC Bioinformatics, July 2012
DOI 10.1186/1471-2105-13-165
Pubmed ID
Authors

Sony Malhotra, Ramanathan Sowdhamini

Abstract

Precise DNA-protein interactions play most important and vital role in maintaining the normal physiological functioning of the cell, as it controls many high fidelity cellular processes. Detailed study of the nature of these interactions has paved the way for understanding the mechanisms behind the biological processes in which they are involved. Earlier in 2000, a systematic classification of DNA-protein complexes based on the structural analysis of the proteins was proposed at two tiers, namely groups and families. With the advancement in the number and resolution of structures of DNA-protein complexes deposited in the Protein Data Bank, it is important to revisit the existing classification.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Researcher 5 26%
Professor > Associate Professor 2 11%
Professor 2 11%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 1 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 42%
Agricultural and Biological Sciences 5 26%
Business, Management and Accounting 1 5%
Computer Science 1 5%
Physics and Astronomy 1 5%
Other 1 5%
Unknown 2 11%
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 22 July 2012.
All research outputs
#12,857,407
of 22,671,366 outputs
Outputs from BMC Bioinformatics
#3,778
of 7,247 outputs
Outputs of similar age
#87,262
of 163,495 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 93 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
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 is in the 45th percentile – i.e., 45% 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 163,495 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 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 53% of its contemporaries.