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Higher-order connections between stereotyped subsets: implications for improved patient classification in CLL

Overview of attention for article published in Blood, March 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 X user
patent
1 patent

Citations

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79 Dimensions

Readers on

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76 Mendeley
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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, 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, the European Research Initiative on CLL ERIC

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 17%
Researcher 12 16%
Other 5 7%
Student > Doctoral Student 4 5%
Student > Bachelor 3 4%
Other 9 12%
Unknown 30 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Medicine and Dentistry 13 17%
Agricultural and Biological Sciences 4 5%
Unspecified 2 3%
Arts and Humanities 2 3%
Other 6 8%
Unknown 32 42%
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 29 June 2023.
All research outputs
#7,966,302
of 25,387,668 outputs
Outputs from Blood
#13,532
of 33,259 outputs
Outputs of similar age
#172,335
of 451,967 outputs
Outputs of similar age from Blood
#119
of 339 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 33,259 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 58% 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 451,967 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 61% of its contemporaries.
We're also able to compare this research output to 339 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 63% of its contemporaries.