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Genetic pleiotropy underpinning adiposity and inflammation in self-identified Hispanic/Latino populations

Overview of attention for article published in BMC Medical Genomics, September 2022
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1 X user

Citations

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2 Dimensions

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6 Mendeley
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Title
Genetic pleiotropy underpinning adiposity and inflammation in self-identified Hispanic/Latino populations
Published in
BMC Medical Genomics, September 2022
DOI 10.1186/s12920-022-01352-3
Pubmed ID
Authors

Mohammad Yaser Anwar, Antoine R. Baldassari, Hannah G. Polikowsky, Colleen M. Sitlani, Heather M. Highland, Nathalie Chami, Hung-Hsin Chen, Mariaelisa Graff, Annie Green Howard, Su Yon Jung, Lauren E. Petty, Zhe Wang, Wanying Zhu, Steven Buyske, Iona Cheng, Robert Kaplan, Charles Kooperberg, Ruth J. F. Loos, Ulrike Peters, Joseph B. McCormick, Susan P. Fisher-Hoch, Christy L. Avery, Kira C. Taylor, Jennifer E. Below, Kari E. North

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Unknown 4 67%
Readers by discipline Count As %
Psychology 1 17%
Medicine and Dentistry 1 17%
Unknown 4 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 September 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from BMC Medical Genomics
#1,030
of 1,252 outputs
Outputs of similar age
#345,610
of 434,830 outputs
Outputs of similar age from BMC Medical Genomics
#26
of 34 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,252 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 434,830 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.