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Bioinformatic gene analysis for potential therapeutic targets of Huntington’s disease in pre-symptomatic and symptomatic stage

Overview of attention for article published in Journal of Translational Medicine, October 2020
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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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Bioinformatic gene analysis for potential therapeutic targets of Huntington’s disease in pre-symptomatic and symptomatic stage
Published in
Journal of Translational Medicine, October 2020
DOI 10.1186/s12967-020-02549-9
Pubmed ID
Authors

Chunchen Xiang, Shengri Cong, Bin Liang, Shuyan Cong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 14%
Student > Ph. D. Student 2 7%
Student > Master 2 7%
Professor 2 7%
Lecturer 1 4%
Other 2 7%
Unknown 15 54%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 25%
Pharmacology, Toxicology and Pharmaceutical Science 3 11%
Veterinary Science and Veterinary Medicine 1 4%
Social Sciences 1 4%
Unknown 16 57%
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 23 October 2020.
All research outputs
#4,277,502
of 23,253,955 outputs
Outputs from Journal of Translational Medicine
#696
of 4,095 outputs
Outputs of similar age
#105,633
of 415,914 outputs
Outputs of similar age from Journal of Translational Medicine
#31
of 103 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,095 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 82% 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 415,914 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 73% 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 68% of its contemporaries.