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Targeted high-throughput sequencing for genetic diagnostics of hemophagocytic lymphohistiocytosis

Overview of attention for article published in Genome Medicine, December 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

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6 X users

Citations

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37 Dimensions

Readers on

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58 Mendeley
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Title
Targeted high-throughput sequencing for genetic diagnostics of hemophagocytic lymphohistiocytosis
Published in
Genome Medicine, December 2015
DOI 10.1186/s13073-015-0244-1
Pubmed ID
Authors

Bianca Tesi, Kristina Lagerstedt-Robinson, Samuel C. C. Chiang, Eya Ben Bdira, Miguel Abboud, Burcu Belen, Omer Devecioglu, Zehra Fadoo, Allen E. J. Yeoh, Hans Christian Erichsen, Merja Möttönen, Himmet Haluk Akar, Johanna Hästbacka, Zuhre Kaya, Susana Nunes, Turkan Patiroglu, Magnus Sabel, Ebru Tugrul Saribeyoglu, Tor Henrik Tvedt, Ekrem Unal, Sule Unal, Aysegul Unuvar, Marie Meeths, Jan-Inge Henter, Magnus Nordenskjöld, Yenan T. Bryceson

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 22%
Student > Ph. D. Student 12 21%
Other 5 9%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 11 19%
Unknown 10 17%
Readers by discipline Count As %
Medicine and Dentistry 17 29%
Immunology and Microbiology 9 16%
Biochemistry, Genetics and Molecular Biology 8 14%
Agricultural and Biological Sciences 7 12%
Computer Science 2 3%
Other 4 7%
Unknown 11 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 December 2015.
All research outputs
#7,892,179
of 25,837,817 outputs
Outputs from Genome Medicine
#1,199
of 1,611 outputs
Outputs of similar age
#111,702
of 397,656 outputs
Outputs of similar age from Genome Medicine
#25
of 33 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. 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 397,656 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 71% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.