↓ Skip to main content

Genome-wide association study of prolactin levels in blood plasma and cerebrospinal fluid

Overview of attention for article published in BMC Genomics, June 2016
Altmetric Badge

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 (88th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
28 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome-wide association study of prolactin levels in blood plasma and cerebrospinal fluid
Published in
BMC Genomics, June 2016
DOI 10.1186/s12864-016-2785-0
Pubmed ID
Authors

Lyndsay A. Staley, Mark T. W. Ebbert, Sheradyn Parker, Matthew Bailey, Perry G. Ridge, Alison M. Goate, John S. K. Kauwe

Abstract

Prolactin is a polypeptide hormone secreted by the anterior pituitary gland that plays an essential role in lactation, tissue growth, and suppressing apoptosis to increase cell survival. Prolactin serves as a key player in many life-critical processes, including immune system and reproduction. Prolactin is also found in multiple fluids throughout the body, including plasma and cerebrospinal fluid (CSF). In this study, we measured prolactin levels in both plasma and CSF, and performed a genome-wide association study. We then performed meta-analyses using METAL with a significance threshold of p < 5 × 10(-8) and removed SNPs where the direction of the effect was different between the two datasets. We identified 12 SNPs associated with increased prolactin levels in both biological fluids. Our efforts will help researchers understand how prolactin is regulated in both CSF and plasma, which could be beneficial in research for the immune system and reproduction.

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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Professor 4 14%
Other 3 11%
Student > Doctoral Student 2 7%
Professor > Associate Professor 2 7%
Other 5 18%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 5 18%
Neuroscience 5 18%
Biochemistry, Genetics and Molecular Biology 4 14%
Agricultural and Biological Sciences 2 7%
Social Sciences 1 4%
Other 2 7%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 08 July 2016.
All research outputs
#2,662,486
of 22,880,230 outputs
Outputs from BMC Genomics
#890
of 10,666 outputs
Outputs of similar age
#49,226
of 352,012 outputs
Outputs of similar age from BMC Genomics
#27
of 226 outputs
Altmetric has tracked 22,880,230 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 10,666 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 352,012 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 226 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.