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Temporal indexing of medical entity in Chinese clinical notes

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2019
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About this Attention Score

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

Mentioned by

patent
1 patent

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Temporal indexing of medical entity in Chinese clinical notes
Published in
BMC Medical Informatics and Decision Making, January 2019
DOI 10.1186/s12911-019-0735-x
Pubmed ID
Authors

Zengjian Liu, Xiaolong Wang, Qingcai Chen, Buzhou Tang, Hua Xu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Researcher 4 15%
Student > Master 3 11%
Other 2 7%
Student > Ph. D. Student 2 7%
Other 4 15%
Unknown 7 26%
Readers by discipline Count As %
Computer Science 5 19%
Engineering 4 15%
Medicine and Dentistry 2 7%
Nursing and Health Professions 2 7%
Environmental Science 1 4%
Other 2 7%
Unknown 11 41%
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 28 June 2022.
All research outputs
#7,444,500
of 22,757,090 outputs
Outputs from BMC Medical Informatics and Decision Making
#763
of 1,985 outputs
Outputs of similar age
#157,921
of 435,579 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#21
of 41 outputs
Altmetric has tracked 22,757,090 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 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 58% 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 435,579 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 55% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.