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Plasma-based longitudinal mutation monitoring as a potential predictor of disease progression in subjects with adenocarcinoma in advanced non-small cell lung cancer

Overview of attention for article published in BMC Cancer, September 2020
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
3 X users
reddit
1 Redditor

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Plasma-based longitudinal mutation monitoring as a potential predictor of disease progression in subjects with adenocarcinoma in advanced non-small cell lung cancer
Published in
BMC Cancer, September 2020
DOI 10.1186/s12885-020-07340-z
Pubmed ID
Authors

John Jiang, Hans-Peter Adams, Maria Lange, Sandra Siemann, Mirjam Feldkamp, Sylvie McNamara, Sebastian Froehler, Stephanie J. Yaung, Lijing Yao, Aarthi Balasubramanyam, Nalin Tikoo, Christine Ju, H. Jost Achenbach, Rainer Krügel, John F. Palma

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Student > Master 2 9%
Student > Postgraduate 2 9%
Professor 1 5%
Other 1 5%
Other 2 9%
Unknown 10 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 18%
Medicine and Dentistry 2 9%
Nursing and Health Professions 1 5%
Agricultural and Biological Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 13 59%
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 18 September 2020.
All research outputs
#14,009,431
of 23,237,082 outputs
Outputs from BMC Cancer
#3,202
of 8,420 outputs
Outputs of similar age
#209,392
of 402,858 outputs
Outputs of similar age from BMC Cancer
#45
of 140 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,420 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 61% 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 402,858 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 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 65% of its contemporaries.