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Escherichia coli-specific CXCL13-producing TFH are associated with clinical efficacy of neoadjuvant PD-1 blockade against muscle-invasive bladder cancer

Overview of attention for article published in Cancer Discovery, August 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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27 tweeters
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Title
Escherichia coli-specific CXCL13-producing TFH are associated with clinical efficacy of neoadjuvant PD-1 blockade against muscle-invasive bladder cancer
Published in
Cancer Discovery, August 2022
DOI 10.1158/2159-8290.cd-22-0201
Pubmed ID
Authors

Anne-Gaelle Goubet, Leonardo Lordello, Carolina Alves Costa Silva, Isabelle PEGUILLET, Marianne Gazzano, Maxime Descartes. MBOGNING-FONKOU, Cassandra Thelemaque, Cedric LEBACLE, Constance Thibault, Francois AUDENET, Geraldine Pignot, Gwenaelle Gravis, Carole HELISSEY, Luca CAMPEDEL, Morgan Roupret, Evanguelos XYLINAS, Idir OUZAID, Agathe Dubuisson, Marine Mazzenga, Caroline Flament, Pierre Ly, Virginie Marty, Nicolas Signolle, Allan Sauvat, Thomas SBARRATO, Mounia FILAHI, Caroline Davin, Gabriel HADDAD, Jacques BOU KHALIL, Camille BLERIOT, Francois-Xavier Danlos, Garett DUNSMORE, Kevin MULDER, Aymeric Silvin, Thibault Raoult, Baptiste ARCHAMBAUD, Shaima BELHECHMI, Ivo Gomperts Boneca, Nadege CAYET, Maryse MOYA-NILGES, Adeline MALLET, Romain Daillere, Etienne Rouleau, Camelia RADULESCU, Yves Allory, Jacques FIESCHI, Mathieu ROUANNE, Florent Ginhoux, Gwenael Le Teuff, Lisa Derosa, Aurelien Marabelle, Jeroen VAN DORP, Nick VAN DIJK, Michiel S. van der Heijden, Benjamin Besse, Fabrice Andre, Miriam Merad, Guido Kroemer, Jean-Yves Scoazec, Laurence Zitvogel, Yohann Loriot

Twitter Demographics

The data shown below were collected from the profiles of 27 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 07 August 2022.
All research outputs
#1,737,943
of 21,752,314 outputs
Outputs from Cancer Discovery
#740
of 3,485 outputs
Outputs of similar age
#18,506
of 193,090 outputs
Outputs of similar age from Cancer Discovery
#18
of 87 outputs
Altmetric has tracked 21,752,314 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,485 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 78% 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 193,090 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.