↓ Skip to main content

Intratumor heterogeneity and T cell exhaustion in primary CNS lymphoma

Overview of attention for article published in Genome Medicine, September 2022
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
19 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
Intratumor heterogeneity and T cell exhaustion in primary CNS lymphoma
Published in
Genome Medicine, September 2022
DOI 10.1186/s13073-022-01110-1
Pubmed ID
Authors

Michael Heming, Svea Haessner, Jolien Wolbert, I-Na Lu, Xiaolin Li, Benjamin Brokinkel, Michael Müther, Markus Holling, Walter Stummer, Christian Thomas, Andreas Schulte-Mecklenbeck, Flavia de Faria, Marlon Stoeckius, Stephan Hailfinger, Georg Lenz, Kornelius Kerl, Heinz Wiendl, Gerd Meyer zu Hörste, Oliver M. Grauer

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 26%
Student > Ph. D. Student 3 16%
Professor > Associate Professor 2 11%
Other 1 5%
Unspecified 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 21%
Medicine and Dentistry 4 21%
Agricultural and Biological Sciences 3 16%
Unspecified 1 5%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 5 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 27 September 2022.
All research outputs
#4,301,622
of 24,513,158 outputs
Outputs from Genome Medicine
#855
of 1,512 outputs
Outputs of similar age
#85,454
of 426,490 outputs
Outputs of similar age from Genome Medicine
#30
of 40 outputs
Altmetric has tracked 24,513,158 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one is in the 43rd percentile – i.e., 43% 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 426,490 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 79% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.