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Application of the 2016 diagnostic approach for autoimmune encephalitis from Lancet Neurology to Chinese patients

Overview of attention for article published in BMC Neurology, November 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
75 Mendeley
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Title
Application of the 2016 diagnostic approach for autoimmune encephalitis from Lancet Neurology to Chinese patients
Published in
BMC Neurology, November 2017
DOI 10.1186/s12883-017-0974-3
Pubmed ID
Authors

Lin Li, Lin Sun, Rong Du, Yuanchu Zheng, Feifei Dai, Qiuying Ma, Jiawei Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Doctoral Student 13 17%
Student > Bachelor 8 11%
Other 7 9%
Student > Postgraduate 5 7%
Other 8 11%
Unknown 20 27%
Readers by discipline Count As %
Medicine and Dentistry 31 41%
Neuroscience 7 9%
Nursing and Health Professions 5 7%
Psychology 4 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 1 1%
Unknown 25 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 January 2020.
All research outputs
#15,597,131
of 23,189,371 outputs
Outputs from BMC Neurology
#1,513
of 2,481 outputs
Outputs of similar age
#207,525
of 331,160 outputs
Outputs of similar age from BMC Neurology
#6
of 20 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,481 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 26th percentile – i.e., 26% 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 331,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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 50% of its contemporaries.