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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 (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
1 X user
patent
1 patent
guideline
1 clinical guideline source

Readers on

mendeley
108 Mendeley
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Article details
Title
Higher-order connections between stereotyped subsets: implications for improved patient classification in CLL
Published in
Blood, March 2021
DOI 10.1182/blood.2020007039
Pubmed ID
Authors

Andreas Agathangelidis, the European Research Initiative on CLL on behalf of ERIC, Anastasia Chatzidimitriou, Katerina Gemenetzi, Veronique Giudicelli, Maria Karypidou, Karla Plevova, Zadie Davis, Xiao-Jie Yan, Sabine Jeromin, Christof Schneider, Lone Bredo Pedersen, Renee C. Tschumper, Lesley-Ann Sutton, Panagiotis Baliakas, Lydia Scarfò, Ellen J. van Gastel, Marine Armand, Eugen Tausch, Bella Biderman, Constance Baer, Davide Bagnara, Alba Navarro, Anne Langlois de Septenville, Valentina Guido, Gerlinde Mitterbauer-Hohendanner, Aleksandar Dimovski, Christian Brieghel, Sarah Lawless, Manja Meggendorfer, Kamila Brazdilova, Matthias Ritgen, Monica Facco, Cristina Tresoldi, Andrea Visentin, Andrea Patriarca, Mark Catherwood, Lisa Bonello, Andrey Sudarikov, Katrina Vanura, Maria Roumelioti, Hana Skuhrova Francova, Theodoros Moysiadis, Silvio Veronese, Krzysztof Giannopoulos, Larry Mansouri, Teodora Karan-Djurasevic, Raphael Sandaltzopoulos, Csaba Bödör, Franco Fais, Arnon Kater, Irina Panovska, Davide Rossi, Salem Alshemmari, Panagiotis Panagiotidis, Paul Costeas, Blanca Espinet, Darko Antic, Letizia Foroni, Marco Montillo, Livio Trentin, Niki Stavroyianni, Gianluca Gaidano, Paola Francia di Celle, Carsten Niemann, Elias Campo, Achilles Anagnostopoulos, Christiane Pott, Kirsten Fischer, Michael Hallek, David Oscier, Stephan Stilgenbauer, Claudia Haferlach, Diane Jelinek, Nicholas Chiorazzi, Sarka Pospisilova, Marie-Paule Lefranc, Sofia Kossida, Anton W. Langerak, Chrysoula Belessi, Frederic Davi, Richard Rosenquist, Paolo Ghia, Kostas Stamatopoulos

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 14%
Researcher 14 13%
Other 7 6%
Student > Doctoral Student 6 6%
Student > Bachelor 5 5%
Other 12 11%
Unknown 49 45%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 22%
Medicine and Dentistry 16 15%
Agricultural and Biological Sciences 4 4%
Arts and Humanities 3 3%
Computer Science 2 2%
Other 6 6%
Unknown 53 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 January 2025.
All research outputs
#6,149,017
of 29,385,863 outputs
Outputs from Blood
#10,389
of 38,483 outputs
Outputs of similar age
#127,407
of 462,394 outputs
Outputs of similar age from Blood
#78
of 301 outputs
Altmetric has tracked 29,385,863 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38,483 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 72% 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 462,394 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 72% of its contemporaries.
We're also able to compare this research output to 301 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.