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Lack of Association of a Functional Polymorphism in the Serotonin Receptor Gene With Body Mass Index and Depressive Symptoms in a Large Meta-Analysis of Population Based Studies

Overview of attention for article published in Frontiers in Genetics, October 2018
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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6 X users

Citations

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5 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Lack of Association of a Functional Polymorphism in the Serotonin Receptor Gene With Body Mass Index and Depressive Symptoms in a Large Meta-Analysis of Population Based Studies
Published in
Frontiers in Genetics, October 2018
DOI 10.3389/fgene.2018.00423
Pubmed ID
Authors

Beverly H. Brummett, Michael A. Babyak, Abanish Singh, Elizabeth R. Hauser, Rong Jiang, Kim M. Huffman, William E. Kraus, Svati H. Shah, Ilene C. Siegler, Redford B. Williams

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Student > Doctoral Student 4 12%
Student > Master 4 12%
Researcher 3 9%
Student > Postgraduate 3 9%
Other 4 12%
Unknown 9 27%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Nursing and Health Professions 5 15%
Agricultural and Biological Sciences 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Chemical Engineering 1 3%
Other 2 6%
Unknown 12 36%
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 15 December 2018.
All research outputs
#13,627,525
of 23,105,443 outputs
Outputs from Frontiers in Genetics
#3,323
of 12,152 outputs
Outputs of similar age
#173,650
of 343,927 outputs
Outputs of similar age from Frontiers in Genetics
#90
of 225 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,152 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 70% 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 343,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 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 57% of its contemporaries.