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Computational recognition and analysis of hitherto uncharacterized nucleotide cyclase-like proteins in bacteria

Overview of attention for article published in Biology Direct, May 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Computational recognition and analysis of hitherto uncharacterized nucleotide cyclase-like proteins in bacteria
Published in
Biology Direct, May 2016
DOI 10.1186/s13062-016-0130-9
Pubmed ID
Authors

Gayatri Ramakrishnan, Abha Jain, Nagasuma Chandra, Narayanaswamy Srinivasan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Student > Ph. D. Student 3 23%
Student > Postgraduate 2 15%
Researcher 2 15%
Other 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 38%
Agricultural and Biological Sciences 5 38%
Computer Science 1 8%
Unknown 2 15%
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 01 November 2016.
All research outputs
#7,490,851
of 22,896,955 outputs
Outputs from Biology Direct
#263
of 487 outputs
Outputs of similar age
#120,798
of 338,963 outputs
Outputs of similar age from Biology Direct
#4
of 7 outputs
Altmetric has tracked 22,896,955 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 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 39th percentile – i.e., 39% 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 338,963 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 52% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.