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Protein modeling to assess the pathogenicity of rare variants of SERPINA1 in patients suspected of having Alpha 1 Antitrypsin Deficiency

Overview of attention for article published in BMC Medical Genomics, July 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Protein modeling to assess the pathogenicity of rare variants of SERPINA1 in patients suspected of having Alpha 1 Antitrypsin Deficiency
Published in
BMC Medical Genomics, July 2019
DOI 10.1186/s12881-019-0852-5
Pubmed ID
Authors

Friedrich Kueppers, Mark D. Andrake, Qifang Xu, Roland L. Dunbrack, Joannah Kim, Christopher L. Sanders

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

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Other 4 15%
Student > Bachelor 4 15%
Student > Master 2 7%
Student > Ph. D. Student 2 7%
Other 4 15%
Unknown 6 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 41%
Nursing and Health Professions 4 15%
Agricultural and Biological Sciences 2 7%
Medicine and Dentistry 2 7%
Psychology 1 4%
Other 1 4%
Unknown 6 22%
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 10 September 2019.
All research outputs
#14,479,843
of 25,385,509 outputs
Outputs from BMC Medical Genomics
#885
of 2,444 outputs
Outputs of similar age
#172,836
of 359,630 outputs
Outputs of similar age from BMC Medical Genomics
#28
of 69 outputs
Altmetric has tracked 25,385,509 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 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 63% 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 359,630 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 69 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 59% of its contemporaries.