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Mining the Human Phenome Using Allelic Scores That Index Biological Intermediates

Overview of attention for article published in PLoS Genetics, October 2013
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users
googleplus
1 Google+ user

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
158 Mendeley
citeulike
3 CiteULike
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Title
Mining the Human Phenome Using Allelic Scores That Index Biological Intermediates
Published in
PLoS Genetics, October 2013
DOI 10.1371/journal.pgen.1003919
Pubmed ID
Authors

David M. Evans, Marie Jo A. Brion, Lavinia Paternoster, John P. Kemp, George McMahon, Marcus Munafò, John B. Whitfield, Sarah E. Medland, Grant W. Montgomery, Nicholas J. Timpson, Beate St. Pourcain, Debbie A. Lawlor, Nicholas G. Martin, Abbas Dehghan, Joel Hirschhorn, George Davey Smith

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

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 2 1%
Netherlands 1 <1%
Finland 1 <1%
Hong Kong 1 <1%
Australia 1 <1%
Czechia 1 <1%
Unknown 149 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 25%
Student > Ph. D. Student 33 21%
Student > Bachelor 13 8%
Professor 11 7%
Professor > Associate Professor 9 6%
Other 33 21%
Unknown 20 13%
Readers by discipline Count As %
Medicine and Dentistry 43 27%
Agricultural and Biological Sciences 36 23%
Biochemistry, Genetics and Molecular Biology 24 15%
Psychology 9 6%
Nursing and Health Professions 4 3%
Other 19 12%
Unknown 23 15%
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 19 December 2013.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from PLoS Genetics
#5,541
of 9,039 outputs
Outputs of similar age
#79,159
of 230,114 outputs
Outputs of similar age from PLoS Genetics
#85
of 176 outputs
Altmetric has tracked 26,017,215 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 9,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one is in the 34th percentile – i.e., 34% 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 230,114 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 176 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 50% of its contemporaries.