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Immune landscape in Burkitt lymphoma reveals M2-macrophage polarization and correlation between PD-L1 expression and non-canonical EBV latency program

Overview of attention for article published in Infectious Agents and Cancer, May 2020
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  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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3 X users

Citations

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28 Dimensions

Readers on

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24 Mendeley
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Title
Immune landscape in Burkitt lymphoma reveals M2-macrophage polarization and correlation between PD-L1 expression and non-canonical EBV latency program
Published in
Infectious Agents and Cancer, May 2020
DOI 10.1186/s13027-020-00292-w
Pubmed ID
Authors

Massimo Granai, Lucia Mundo, Ayse U. Akarca, Maria Chiara Siciliano, Hasan Rizvi, Virginia Mancini, Noel Onyango, Joshua Nyagol, Nicholas Othieno Abinya, Ibrahim Maha, Sandra Margielewska, Wenbin Wei, Michele Bibas, Pier Paolo Piccaluga, Leticia Quintanilla-Martinez, Falko Fend, Stefano Lazzi, Lorenzo Leoncini, Teresa Marafioti

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 3 13%
Student > Bachelor 2 8%
Librarian 1 4%
Student > Ph. D. Student 1 4%
Other 1 4%
Unknown 12 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 17%
Agricultural and Biological Sciences 2 8%
Medicine and Dentistry 2 8%
Business, Management and Accounting 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 13 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 May 2020.
All research outputs
#14,195,280
of 23,206,358 outputs
Outputs from Infectious Agents and Cancer
#187
of 530 outputs
Outputs of similar age
#205,767
of 382,490 outputs
Outputs of similar age from Infectious Agents and Cancer
#2
of 21 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 530 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 382,490 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.