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Identification of potential causal variants for premature ovarian failure by whole exome sequencing

Overview of attention for article published in BMC Medical Genomics, October 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Identification of potential causal variants for premature ovarian failure by whole exome sequencing
Published in
BMC Medical Genomics, October 2020
DOI 10.1186/s12920-020-00813-x
Pubmed ID
Authors

Haengun Jin, JuWon Ahn, YoungJoon Park, JeongMin Sim, Han Sung Park, Chang Soo Ryu, Nam Keun Kim, KyuBum Kwack

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 13%
Student > Ph. D. Student 2 13%
Other 1 6%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 2 13%
Unknown 7 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 44%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 February 2022.
All research outputs
#6,543,964
of 23,189,371 outputs
Outputs from BMC Medical Genomics
#296
of 1,243 outputs
Outputs of similar age
#144,932
of 419,888 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 45 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,243 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% 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 419,888 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 64% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.