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MIPP-Seq: ultra-sensitive rapid detection and validation of low-frequency mosaic mutations

Overview of attention for article published in BMC Medical Genomics, February 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
20 Mendeley
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Title
MIPP-Seq: ultra-sensitive rapid detection and validation of low-frequency mosaic mutations
Published in
BMC Medical Genomics, February 2021
DOI 10.1186/s12920-021-00893-3
Pubmed ID
Authors

Ryan N. Doan, Michael B. Miller, Sonia N. Kim, Rachel E. Rodin, Javier Ganz, Sara Bizzotto, Katherine S. Morillo, August Yue Huang, Reethika Digumarthy, Zachary Zemmel, Christopher A. Walsh

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 20%
Student > Ph. D. Student 4 20%
Other 2 10%
Student > Bachelor 2 10%
Lecturer > Senior Lecturer 1 5%
Other 3 15%
Unknown 4 20%
Readers by discipline Count As %
Medicine and Dentistry 7 35%
Neuroscience 4 20%
Biochemistry, Genetics and Molecular Biology 2 10%
Unspecified 1 5%
Nursing and Health Professions 1 5%
Other 0 0%
Unknown 5 25%

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 26 February 2021.
All research outputs
#11,896,433
of 20,374,295 outputs
Outputs from BMC Medical Genomics
#444
of 1,075 outputs
Outputs of similar age
#154,747
of 311,030 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 1 outputs
Altmetric has tracked 20,374,295 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,075 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 56% 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 311,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them