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Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning

Overview of attention for article published in IEEE Transactions on Biomedical Engineering, October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
136 Mendeley
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Title
Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning
Published in
IEEE Transactions on Biomedical Engineering, October 2015
DOI 10.1109/tbme.2015.2430895
Pubmed ID
Authors

Youyi Song, Ling Zhang, Siping Chen, Dong Ni, Baiying Lei, Tianfu Wang

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Brazil 1 <1%
Unknown 133 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 28%
Student > Master 26 19%
Researcher 12 9%
Professor > Associate Professor 11 8%
Student > Doctoral Student 9 7%
Other 23 17%
Unknown 17 13%
Readers by discipline Count As %
Computer Science 65 48%
Engineering 34 25%
Unspecified 3 2%
Physics and Astronomy 2 1%
Agricultural and Biological Sciences 2 1%
Other 5 4%
Unknown 25 18%

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 October 2019.
All research outputs
#5,084,747
of 16,058,965 outputs
Outputs from IEEE Transactions on Biomedical Engineering
#1,117
of 3,786 outputs
Outputs of similar age
#112,622
of 281,537 outputs
Outputs of similar age from IEEE Transactions on Biomedical Engineering
#9
of 20 outputs
Altmetric has tracked 16,058,965 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,786 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 16th percentile – i.e., 16% 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 281,537 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 59% of its contemporaries.
We're also able to compare this research output to 20 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 55% of its contemporaries.