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Automated cell segmentation in FIJI® using the DRAQ5 nuclear dye

Overview of attention for article published in BMC Bioinformatics, January 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Automated cell segmentation in FIJI® using the DRAQ5 nuclear dye
Published in
BMC Bioinformatics, January 2019
DOI 10.1186/s12859-019-2602-2
Authors

Mischa Schwendy, Ronald E. Unger, Mischa Bonn, Sapun H. Parekh

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

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 35%
Researcher 7 21%
Student > Bachelor 6 18%
Student > Master 3 9%
Lecturer 2 6%
Other 1 3%
Unknown 3 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 29%
Agricultural and Biological Sciences 6 18%
Computer Science 3 9%
Engineering 2 6%
Medicine and Dentistry 2 6%
Other 6 18%
Unknown 5 15%

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 22 January 2019.
All research outputs
#7,829,113
of 14,173,688 outputs
Outputs from BMC Bioinformatics
#3,022
of 5,345 outputs
Outputs of similar age
#149,986
of 319,433 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 42 outputs
Altmetric has tracked 14,173,688 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 5,345 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 43rd percentile – i.e., 43% 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 319,433 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 51% of its contemporaries.
We're also able to compare this research output to 42 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.