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Genome-wide analysis indicates association between heterozygote advantage and healthy aging in humans

Overview of attention for article published in BMC Genomic Data, July 2019
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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4 X users

Citations

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11 Dimensions

Readers on

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47 Mendeley
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Title
Genome-wide analysis indicates association between heterozygote advantage and healthy aging in humans
Published in
BMC Genomic Data, July 2019
DOI 10.1186/s12863-019-0758-4
Pubmed ID
Authors

Ke Xu, Roman Kosoy, Khader Shameer, Sudhir Kumar, Li Liu, Ben Readhead, Gillian M. Belbin, Hao-Chih Lee, Rong Chen, Joel T. Dudley

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Other 5 11%
Student > Bachelor 4 9%
Researcher 4 9%
Student > Master 3 6%
Other 7 15%
Unknown 14 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 26%
Agricultural and Biological Sciences 7 15%
Medicine and Dentistry 3 6%
Nursing and Health Professions 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 13%
Unknown 15 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 July 2019.
All research outputs
#15,749,194
of 25,385,509 outputs
Outputs from BMC Genomic Data
#515
of 1,204 outputs
Outputs of similar age
#199,660
of 362,446 outputs
Outputs of similar age from BMC Genomic Data
#5
of 17 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 54% 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 362,446 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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 70% of its contemporaries.