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PCR-based zebrafish model for personalised medicine in head and neck cancer

Overview of attention for article published in Journal of Translational Medicine, July 2019
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1 X user

Citations

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23 Dimensions

Readers on

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51 Mendeley
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Title
PCR-based zebrafish model for personalised medicine in head and neck cancer
Published in
Journal of Translational Medicine, July 2019
DOI 10.1186/s12967-019-1985-1
Pubmed ID
Authors

Ahmed Al-Samadi, Katja Tuomainen, Anne Kivimäki, Abdelhakim Salem, Sakhr Al-Kubati, Aini Hyytiäinen, Mataleena Parikka, Karri Mesimäki, Tommy Wilkman, Antti Mäkitie, Reidar Grenman, Tuula Salo

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

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Researcher 6 12%
Student > Master 4 8%
Student > Bachelor 2 4%
Student > Postgraduate 2 4%
Other 5 10%
Unknown 22 43%
Readers by discipline Count As %
Medicine and Dentistry 11 22%
Biochemistry, Genetics and Molecular Biology 6 12%
Economics, Econometrics and Finance 3 6%
Social Sciences 2 4%
Chemical Engineering 1 2%
Other 3 6%
Unknown 25 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 July 2019.
All research outputs
#23,391,126
of 25,837,817 outputs
Outputs from Journal of Translational Medicine
#3,942
of 4,712 outputs
Outputs of similar age
#312,062
of 362,223 outputs
Outputs of similar age from Journal of Translational Medicine
#63
of 76 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,712 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 362,223 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.