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Familial autosomal recessive bestrophinopathy: identification of a novel variant in BEST1 gene and the specific metabolomic profile

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

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Familial autosomal recessive bestrophinopathy: identification of a novel variant in BEST1 gene and the specific metabolomic profile
Published in
BMC Medical Genomics, January 2020
DOI 10.1186/s12881-020-0951-3
Pubmed ID
Authors

Panpan Ye, Jia Xu, Yueqiu Luo, Zhitao Su, Ke Yao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 13%
Researcher 2 13%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Unknown 9 60%
Readers by discipline Count As %
Medicine and Dentistry 2 13%
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Nursing and Health Professions 1 7%
Unknown 9 60%
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 July 2022.
All research outputs
#8,543,833
of 25,394,764 outputs
Outputs from BMC Medical Genomics
#638
of 2,444 outputs
Outputs of similar age
#176,921
of 473,593 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 75 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 65% 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 473,593 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 53% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.