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Unique aspects of sequence variant interpretation for inborn errors of metabolism (IEM): The ClinGen IEM Working Group and the Phenylalanine Hydroxylase Gene

Overview of attention for article published in Human Mutation, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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54 Dimensions

Readers on

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52 Mendeley
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Title
Unique aspects of sequence variant interpretation for inborn errors of metabolism (IEM): The ClinGen IEM Working Group and the Phenylalanine Hydroxylase Gene
Published in
Human Mutation, October 2018
DOI 10.1002/humu.23649
Pubmed ID
Authors

Diane B. Zastrow, Heather Baudet, Wei Shen, Amanda Thomas, Yue Si, Meredith A. Weaver, Angela M. Lager, Jixia Liu, Rachel Mangels, Selina S. Dwight, Matt W. Wright, Steven F. Dobrowolski, Karen Eilbeck, Gregory M. Enns, Annette Feigenbaum, Uta Lichter‐Konecki, Elaine Lyon, Marzia Pasquali, Michael Watson, Nenad Blau, Robert D. Steiner, William J. Craigen, Rong Mao, ClinGen Inborn Errors of Metabolism Working Group

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Other 12 23%
Researcher 11 21%
Student > Bachelor 5 10%
Student > Master 5 10%
Professor 2 4%
Other 5 10%
Unknown 12 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 31%
Agricultural and Biological Sciences 11 21%
Medicine and Dentistry 6 12%
Nursing and Health Professions 2 4%
Unspecified 1 2%
Other 2 4%
Unknown 14 27%
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 04 December 2018.
All research outputs
#13,274,819
of 23,106,934 outputs
Outputs from Human Mutation
#1,995
of 2,923 outputs
Outputs of similar age
#166,807
of 346,143 outputs
Outputs of similar age from Human Mutation
#36
of 63 outputs
Altmetric has tracked 23,106,934 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 2,923 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 31st percentile – i.e., 31% 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 346,143 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.