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Identifying Alzheimer’s disease-related proteins by LRRGD

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
5 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Identifying Alzheimer’s disease-related proteins by LRRGD
Published in
BMC Bioinformatics, November 2019
DOI 10.1186/s12859-019-3124-7
Pubmed ID
Authors

Tianyi Zhao, Yang Hu, Tianyi Zang, Liang Cheng

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Researcher 2 25%
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Unknown 1 13%
Readers by discipline Count As %
Nursing and Health Professions 2 25%
Agricultural and Biological Sciences 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Computer Science 1 13%
Psychology 1 13%
Other 1 13%
Unknown 1 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 2020.
All research outputs
#1,839,348
of 16,293,064 outputs
Outputs from BMC Bioinformatics
#682
of 5,890 outputs
Outputs of similar age
#64,450
of 386,783 outputs
Outputs of similar age from BMC Bioinformatics
#92
of 592 outputs
Altmetric has tracked 16,293,064 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,890 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 88% 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 386,783 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 83% of its contemporaries.
We're also able to compare this research output to 592 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.