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Association of variants in the KIF1A gene with amyotrophic lateral sclerosis

Overview of attention for article published in Translational Neurodegeneration, October 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
13 Mendeley
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Title
Association of variants in the KIF1A gene with amyotrophic lateral sclerosis
Published in
Translational Neurodegeneration, October 2022
DOI 10.1186/s40035-022-00320-2
Pubmed ID
Authors

Panlin Liao, Yanchun Yuan, Zhen Liu, Xiaorong Hou, Wanzhen Li, Jin Wen, Kexuan Zhang, Bin Jiao, Lu Shen, Hong Jiang, Jifeng Guo, Beisha Tang, Zhuohua Zhang, Zhonghua Hu, Junling Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 31%
Researcher 2 15%
Student > Ph. D. Student 2 15%
Unspecified 1 8%
Unknown 4 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Neuroscience 2 15%
Medicine and Dentistry 2 15%
Nursing and Health Professions 1 8%
Unspecified 1 8%
Other 1 8%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 October 2022.
All research outputs
#4,840,893
of 25,392,582 outputs
Outputs from Translational Neurodegeneration
#233
of 385 outputs
Outputs of similar age
#97,743
of 440,948 outputs
Outputs of similar age from Translational Neurodegeneration
#11
of 13 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 385 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one is in the 28th percentile – i.e., 28% 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 440,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.