↓ Skip to main content

How to Include Chromosome X in Your Genome‐Wide Association Study

Overview of attention for article published in Genetic Epidemiology, January 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
173 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
How to Include Chromosome X in Your Genome‐Wide Association Study
Published in
Genetic Epidemiology, January 2014
DOI 10.1002/gepi.21782
Pubmed ID
Authors

Inke R. König, Christina Loley, Jeanette Erdmann, Andreas Ziegler

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Germany 1 <1%
Australia 1 <1%
Unknown 169 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 30%
Student > Ph. D. Student 49 28%
Student > Master 10 6%
Student > Bachelor 9 5%
Student > Postgraduate 8 5%
Other 24 14%
Unknown 21 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 53 31%
Agricultural and Biological Sciences 36 21%
Medicine and Dentistry 23 13%
Neuroscience 5 3%
Psychology 5 3%
Other 20 12%
Unknown 31 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 January 2024.
All research outputs
#14,988,646
of 25,837,817 outputs
Outputs from Genetic Epidemiology
#435
of 857 outputs
Outputs of similar age
#172,178
of 322,487 outputs
Outputs of similar age from Genetic Epidemiology
#3
of 12 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 857 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 48th percentile – i.e., 48% 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 322,487 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.