| Title |
Detection of NRG1 Gene Fusions in Solid Tumors
|
|---|---|
| Published in |
Clinical Cancer Research, August 2019
|
| DOI | 10.1158/1078-0432.ccr-19-0160 |
| Pubmed ID | |
| Authors |
Sushma Jonna, Rebecca A. Feldman, Jeffrey Swensen, Zoran Gatalica, Wolfgang M. Korn, Hossein Borghaei, Patrick C., Jorge J. Nieva, Alexander I. Spira, Ari M. Vanderwalde, Antoinette J. Wozniak, Edward S. Kim, Stephen V. Liu |
X Demographics
The data shown below were collected from the profiles of 119 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 | 40 | 34% |
| Spain | 10 | 8% |
| France | 3 | 3% |
| India | 3 | 3% |
| Australia | 3 | 3% |
| Italy | 2 | 2% |
| Mexico | 2 | 2% |
| Greece | 2 | 2% |
| Canada | 2 | 2% |
| Other | 9 | 8% |
| Unknown | 43 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 56 | 47% |
| Scientists | 34 | 29% |
| Practitioners (doctors, other healthcare professionals) | 22 | 18% |
| Science communicators (journalists, bloggers, editors) | 7 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 22% |
| Other | 9 | 8% |
| Student > Ph. D. Student | 8 | 7% |
| Student > Postgraduate | 8 | 7% |
| Student > Master | 8 | 7% |
| Other | 18 | 15% |
| Unknown | 42 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 24% |
| Medicine and Dentistry | 27 | 23% |
| Agricultural and Biological Sciences | 6 | 5% |
| Nursing and Health Professions | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 48 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 233. 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 January 2024.
All research outputs
#165,646
of 25,726,194 outputs
Outputs from Clinical Cancer Research
#70
of 13,296 outputs
Outputs of similar age
#3,092
of 353,868 outputs
Outputs of similar age from Clinical Cancer Research
#3
of 201 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done particularly well, scoring higher than 99% 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 353,868 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 99% of its contemporaries.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.