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Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries

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

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries
Published in
BMC Bioinformatics, August 2019
DOI 10.1186/s12859-019-3005-0
Pubmed ID
Authors

Yipei Wang, Xingyu Fan, Luoxin Chen, Eric I-Chao Chang, Sophia Ananiadou, Junichi Tsujii, Yan Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 13%
Researcher 3 8%
Lecturer 3 8%
Student > Ph. D. Student 3 8%
Other 2 5%
Other 7 18%
Unknown 17 43%
Readers by discipline Count As %
Computer Science 5 13%
Medicine and Dentistry 5 13%
Biochemistry, Genetics and Molecular Biology 2 5%
Psychology 2 5%
Nursing and Health Professions 1 3%
Other 8 20%
Unknown 17 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 September 2019.
All research outputs
#6,907,468
of 23,153,849 outputs
Outputs from BMC Bioinformatics
#2,618
of 7,341 outputs
Outputs of similar age
#121,300
of 343,388 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 103 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 343,388 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 64% of its contemporaries.
We're also able to compare this research output to 103 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 62% of its contemporaries.