↓ Skip to main content

Haplotype Motif-Based Models for KIR-Genotype Informed Selection of Hematopoietic Cell Donors Fail to Predict Outcome of Patients With Myelodysplastic Syndromes or Secondary Acute Myeloid Leukemia

Overview of attention for article published in Frontiers in immunology, January 2021
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Haplotype Motif-Based Models for KIR-Genotype Informed Selection of Hematopoietic Cell Donors Fail to Predict Outcome of Patients With Myelodysplastic Syndromes or Secondary Acute Myeloid Leukemia
Published in
Frontiers in immunology, January 2021
DOI 10.3389/fimmu.2020.584520
Pubmed ID
Authors

Johannes Schetelig, Henning Baldauf, Linda Koster, Michelle Kuxhausen, Falk Heidenreich, Liesbeth C. de Wreede, Stephen Spellman, Michel van Gelder, Benedetto Bruno, Francesco Onida, Vinzenz Lange, Carolin Massalski, Victoria Potter, Per Ljungman, Nicolaas Schaap, Patrick Hayden, Stephanie J. Lee, Nicolaus Kröger, Kathy Hsu, Alexander H. Schmidt, Ibrahim Yakoub-Agha, Marie Robin

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 17%
Other 2 17%
Researcher 1 8%
Unknown 7 58%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Unknown 8 67%
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 09 February 2021.
All research outputs
#17,362,412
of 25,477,125 outputs
Outputs from Frontiers in immunology
#20,415
of 31,773 outputs
Outputs of similar age
#328,774
of 523,903 outputs
Outputs of similar age from Frontiers in immunology
#672
of 1,009 outputs
Altmetric has tracked 25,477,125 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,773 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 28th percentile – i.e., 28% 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 523,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,009 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.