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Secondary resistance to anti-EGFR therapy by transcriptional reprogramming in patient-derived colorectal cancer models

Overview of attention for article published in Genome Medicine, July 2021
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

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23 Mendeley
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Title
Secondary resistance to anti-EGFR therapy by transcriptional reprogramming in patient-derived colorectal cancer models
Published in
Genome Medicine, July 2021
DOI 10.1186/s13073-021-00926-7
Pubmed ID
Authors

Deepak Vangala, Swetlana Ladigan, Sven T. Liffers, Soha Noseir, Abdelouahid Maghnouj, Tina-Maria Götze, Berlinda Verdoodt, Susanne Klein-Scory, Laura Godfrey, Martina K. Zowada, Mario Huerta, Daniel L. Edelstein, Jaime Martinez de Villarreal, Miriam Marqués, Jörg Kumbrink, Andreas Jung, Tobias Schiergens, Jens Werner, Volker Heinemann, Sebastian Stintzing, Doris Lindoerfer, Ulrich Mansmann, Michael Pohl, Christian Teschendorf, Christiane Bernhardt, Heiner Wolters, Josef Stern, Selami Usta, Richard Viebahn, Jacob Admard, Nicolas Casadei, Stefan Fröhling, Claudia R. Ball, Jens T. Siveke, Hanno Glimm, Andrea Tannapfel, Wolff Schmiegel, Stephan A. Hahn

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Other 2 9%
Student > Ph. D. Student 2 9%
Lecturer > Senior Lecturer 1 4%
Student > Bachelor 1 4%
Other 2 9%
Unknown 11 48%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Biochemistry, Genetics and Molecular Biology 3 13%
Immunology and Microbiology 1 4%
Unknown 13 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 July 2021.
All research outputs
#21,293,845
of 23,923,788 outputs
Outputs from Genome Medicine
#1,444
of 1,477 outputs
Outputs of similar age
#361,572
of 438,347 outputs
Outputs of similar age from Genome Medicine
#41
of 42 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.4. This one is in the 1st percentile – i.e., 1% 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 438,347 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.