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Twitter Demographics
Mendeley readers
Attention Score in Context
Title |
GATA6 Expression Distinguishes Classical and Basal-like Subtypes in Advanced Pancreatic Cancer
|
---|---|
Published in |
Clinical Cancer Research, March 2020
|
DOI | 10.1158/1078-0432.ccr-19-3724 |
Pubmed ID | |
Authors |
Grainne M. O’Kane, Barbara T. Grünwald, Gun-Ho Jang, Mehdi Masoomian, Sarah Picardo, Robert C. Grant, Robert E. Denroche, Amy Zhang, Yifan Wang, Jessica K. Miller, Bernard Lam, Paul M. Krzyzanowski, Ilinca M. Lungu, John M.S. Bartlett, Melanie Peralta, Foram Vyas, Rama Khokha, James Biagi, Dianne Chadwick, Stephanie Ramotar, Shawn Hutchinson, Anna Dodd, Julie M. Wilson, Faiyaz Notta, George Zogopoulos, Steven Gallinger, Jennifer J. Knox, Sandra E. Fischer |
Twitter Demographics
The data shown below were collected from the profiles of 36 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 31% |
Canada | 6 | 17% |
Comoros | 1 | 3% |
Ecuador | 1 | 3% |
Brazil | 1 | 3% |
Spain | 1 | 3% |
Germany | 1 | 3% |
United Kingdom | 1 | 3% |
Unknown | 13 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 58% |
Scientists | 10 | 28% |
Practitioners (doctors, other healthcare professionals) | 3 | 8% |
Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 140 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 19% |
Researcher | 26 | 19% |
Student > Bachelor | 13 | 9% |
Other | 8 | 6% |
Student > Postgraduate | 7 | 5% |
Other | 17 | 12% |
Unknown | 43 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 34 | 24% |
Biochemistry, Genetics and Molecular Biology | 31 | 22% |
Agricultural and Biological Sciences | 7 | 5% |
Immunology and Microbiology | 4 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
Other | 11 | 8% |
Unknown | 49 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 September 2023.
All research outputs
#1,034,972
of 24,456,171 outputs
Outputs from Clinical Cancer Research
#698
of 13,013 outputs
Outputs of similar age
#25,382
of 367,078 outputs
Outputs of similar age from Clinical Cancer Research
#24
of 173 outputs
Altmetric has tracked 24,456,171 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,013 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 94% 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 367,078 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 93% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.