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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Heterogeneity Underlies the Emergence of EGFRT790 Wild-Type Clones Following Treatment of T790M-Positive Cancers with a Third-Generation EGFR Inhibitor
|
|---|---|
| Published in |
Cancer Discovery, July 2015
|
| DOI | 10.1158/2159-8290.cd-15-0399 |
| Pubmed ID | |
| Authors |
Zofia Piotrowska, Matthew J. Niederst, Chris A. Karlovich, Heather A. Wakelee, Joel W. Neal, Mari Mino-Kenudson, Linnea Fulton, Aaron N. Hata, Elizabeth L. Lockerman, Anuj Kalsy, Subba Digumarthy, Alona Muzikansky, Mitch Raponi, Angel R. Garcia, Hillary E. Mulvey, Melissa K. Parks, Richard H. DiCecca, Dora Dias-Santagata, A. John Iafrate, Alice T. Shaw, Andrew R. Allen, Jeffrey A. Engelman, Lecia V. Sequist |
X Demographics
The data shown below were collected from the profiles of 26 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 | 17 | 65% |
| Nigeria | 1 | 4% |
| India | 1 | 4% |
| Japan | 1 | 4% |
| Unknown | 6 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 69% |
| Scientists | 6 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Ireland | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 241 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 55 | 22% |
| Student > Ph. D. Student | 38 | 15% |
| Other | 27 | 11% |
| Student > Bachelor | 20 | 8% |
| Student > Master | 19 | 8% |
| Other | 36 | 15% |
| Unknown | 52 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 64 | 26% |
| Biochemistry, Genetics and Molecular Biology | 58 | 23% |
| Agricultural and Biological Sciences | 37 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 3% |
| Chemistry | 4 | 2% |
| Other | 10 | 4% |
| Unknown | 66 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 26 July 2018.
All research outputs
#2,298,133
of 26,017,215 outputs
Outputs from Cancer Discovery
#1,007
of 4,153 outputs
Outputs of similar age
#28,054
of 279,685 outputs
Outputs of similar age from Cancer Discovery
#12
of 69 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one has done well, scoring higher than 75% 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 279,685 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.