↓ Skip to main content

Association of rare non-coding SNVs in the lung-specific FOXF1 enhancer with a mitigation of the lethal ACDMPV phenotype

Overview of attention for article published in Human Genetics, November 2019
Altmetric Badge

About this Attention Score

  • 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
3 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
10 Mendeley
Title
Association of rare non-coding SNVs in the lung-specific FOXF1 enhancer with a mitigation of the lethal ACDMPV phenotype
Published in
Human Genetics, November 2019
DOI 10.1007/s00439-019-02073-x
Pubmed ID
Authors

Przemyslaw Szafranski, Qian Liu, Justyna A. Karolak, Xiaofei Song, Nicole de Leeuw, Brigitte Faas, Romana Gerychova, Petr Janku, Marta Jezova, Iveta Valaskova, Kathleen A. Gibbs, Lea F. Surrey, Virginie Poisson, Denis Bérubé, Luc L. Oligny, Jacques L. Michaud, Edwina Popek, Paweł Stankiewicz

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Lecturer > Senior Lecturer 1 10%
Student > Doctoral Student 1 10%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Nursing and Health Professions 2 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Medicine and Dentistry 1 10%
Unknown 5 50%
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 28 March 2022.
All research outputs
#17,345,186
of 26,017,215 outputs
Outputs from Human Genetics
#2,583
of 3,050 outputs
Outputs of similar age
#235,250
of 384,000 outputs
Outputs of similar age from Human Genetics
#18
of 27 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,050 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 13th percentile – i.e., 13% 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 384,000 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.