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Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
twitter
6 X users

Readers on

mendeley
100 Mendeley
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Title
Detection of gene fusions using targeted next-generation sequencing: a comparative evaluation
Published in
BMC Medical Genomics, February 2021
DOI 10.1186/s12920-021-00909-y
Pubmed ID
Authors

Carina Heydt, Christina B. Wölwer, Oscar Velazquez Camacho, Svenja Wagener-Ryczek, Roberto Pappesch, Janna Siemanowski, Jan Rehker, Florian Haller, Abbas Agaimy, Karl Worm, Thomas Herold, Nicole Pfarr, Wilko Weichert, Thomas Kirchner, Andreas Jung, Jörg Kumbrink, Wolfgang Goering, Irene Esposito, Reinhard Buettner, Axel M. Hillmer, Sabine Merkelbach-Bruse

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 17%
Student > Master 9 9%
Student > Bachelor 9 9%
Student > Ph. D. Student 9 9%
Student > Doctoral Student 3 3%
Other 10 10%
Unknown 43 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 26%
Medicine and Dentistry 14 14%
Agricultural and Biological Sciences 6 6%
Computer Science 2 2%
Nursing and Health Professions 1 1%
Other 5 5%
Unknown 46 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 May 2024.
All research outputs
#1,893,254
of 26,192,167 outputs
Outputs from BMC Medical Genomics
#76
of 2,474 outputs
Outputs of similar age
#50,092
of 455,064 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 50 outputs
Altmetric has tracked 26,192,167 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,474 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 96% 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 455,064 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.