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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Aurora kinase A drives the evolution of resistance to third-generation EGFR inhibitors in lung cancer
|
|---|---|
| Published in |
Nature Medicine, November 2018
|
| DOI | 10.1038/s41591-018-0264-7 |
| Pubmed ID | |
| Authors |
Khyati N. Shah, Roma Bhatt, Julia Rotow, Julia Rohrberg, Victor Olivas, Victoria E. Wang, Golzar Hemmati, Maria M. Martins, Ashley Maynard, Jonathan Kuhn, Jacqueline Galeas, Hayley J. Donnella, Swati Kaushik, Angel Ku, Sophie Dumont, Gregor Krings, Henry J. Haringsma, Liliane Robillard, Andrew D. Simmons, Thomas C. Harding, Frank McCormick, Andrei Goga, Collin M. Blakely, Trever G. Bivona, Sourav Bandyopadhyay |
X Demographics
The data shown below were collected from the profiles of 104 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 39 | 38% |
| India | 6 | 6% |
| France | 5 | 5% |
| Italy | 4 | 4% |
| Spain | 3 | 3% |
| Colombia | 2 | 2% |
| Japan | 2 | 2% |
| Australia | 2 | 2% |
| Germany | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 30 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 54 | 52% |
| Scientists | 40 | 38% |
| Practitioners (doctors, other healthcare professionals) | 5 | 5% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 246 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 20% |
| Researcher | 48 | 20% |
| Student > Bachelor | 15 | 6% |
| Student > Doctoral Student | 11 | 4% |
| Student > Postgraduate | 11 | 4% |
| Other | 36 | 15% |
| Unknown | 75 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 62 | 25% |
| Medicine and Dentistry | 31 | 13% |
| Agricultural and Biological Sciences | 24 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 15 | 6% |
| Chemistry | 14 | 6% |
| Other | 24 | 10% |
| Unknown | 76 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 145. 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 01 December 2023.
All research outputs
#290,318
of 25,837,817 outputs
Outputs from Nature Medicine
#1,087
of 9,407 outputs
Outputs of similar age
#6,086
of 451,031 outputs
Outputs of similar age from Nature Medicine
#26
of 100 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.6. This one has done well, scoring higher than 88% 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 451,031 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 98% of its contemporaries.
We're also able to compare this research output to 100 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 74% of its contemporaries.