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Identifying Alzheimer’s genes via brain transcriptome mapping

Overview of attention for article published in BMC Medical Genomics, May 2022
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
twitter
4 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Identifying Alzheimer’s genes via brain transcriptome mapping
Published in
BMC Medical Genomics, May 2022
DOI 10.1186/s12920-022-01260-6
Pubmed ID
Authors

Jae Young Baik, Mansu Kim, Jingxuan Bao, Qi Long, Li Shen

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 68%
Student > Ph. D. Student 2 11%
Professor 1 5%
Other 1 5%
Student > Doctoral Student 1 5%
Other 0 0%
Unknown 1 5%
Readers by discipline Count As %
Neuroscience 12 63%
Biochemistry, Genetics and Molecular Biology 2 11%
Nursing and Health Professions 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Business, Management and Accounting 1 5%
Other 1 5%
Unknown 1 5%
Attention Score in Context

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 14 June 2022.
All research outputs
#2,946,122
of 23,881,329 outputs
Outputs from BMC Medical Genomics
#107
of 1,268 outputs
Outputs of similar age
#64,366
of 444,118 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 47 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,268 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 91% 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 444,118 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 85% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.