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High Resolution Melting analysis as a rapid and efficient method of screening for small mutations in the STK11gene in patients with Peutz-Jeghers syndrome

Overview of attention for article published in BMC Medical Genetics, May 2013
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Mentioned by

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1 tweeter

Citations

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12 Dimensions

Readers on

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21 Mendeley
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Title
High Resolution Melting analysis as a rapid and efficient method of screening for small mutations in the STK11gene in patients with Peutz-Jeghers syndrome
Published in
BMC Medical Genetics, May 2013
DOI 10.1186/1471-2350-14-58
Authors

Pawel Borun, Anna Bartkowiak, Tomasz Banasiewicz, Boguslaw Nedoszytko, Dorota Nowakowska, Mikolaj Teisseyre, Janusz Limon, Jan Lubinski, Lukasz Kubaszewski, Jaroslaw Walkowiak, Elzbieta Czkwianianc, Monika Siolek, Agnieszka Kedzia, Piotr Krokowicz, Wojciech Cichy, Andrzej Plawski

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Other 4 19%
Student > Master 4 19%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Other 4 19%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 38%
Medicine and Dentistry 7 33%
Biochemistry, Genetics and Molecular Biology 2 10%
Nursing and Health Professions 1 5%
Arts and Humanities 1 5%
Other 0 0%
Unknown 2 10%

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 30 May 2013.
All research outputs
#3,160,175
of 4,505,402 outputs
Outputs from BMC Medical Genetics
#273
of 412 outputs
Outputs of similar age
#63,834
of 89,912 outputs
Outputs of similar age from BMC Medical Genetics
#11
of 12 outputs
Altmetric has tracked 4,505,402 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 412 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 24th percentile – i.e., 24% 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 89,912 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.