| Title |
Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
|
|---|---|
| Published in |
Genome Biology, November 2019
|
| DOI | 10.1186/s13059-019-1848-3 |
| Pubmed ID | |
| Authors |
Jason K. Sa, Jae Ryoung Hwang, Young-Jae Cho, Ji-Yoon Ryu, Jung-Joo Choi, Soo Young Jeong, Jihye Kim, Myeong Seon Kim, E. Sun Paik, Yoo-Young Lee, Chel Hun Choi, Tae-Joong Kim, Byoung-Gie Kim, Duk-Soo Bae, Yeri Lee, Nam-Gu Her, Yong Jae Shin, Hee Jin Cho, Ja Yeon Kim, Yun Jee Seo, Harim Koo, Jeong-Woo Oh, Taebum Lee, Hyun-Soo Kim, Sang Yong Song, Joon Seol Bae, Woong-Yang Park, Hee Dong Han, Hyung Jun Ahn, Anil K. Sood, Raul Rabadan, Jin-Ku Lee, Do-Hyun Nam, Jeong-Won Lee |
X Demographics
The data shown below were collected from the profiles of 43 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 | 16 | 37% |
| United Kingdom | 4 | 9% |
| Saudi Arabia | 1 | 2% |
| New Zealand | 1 | 2% |
| Spain | 1 | 2% |
| Sweden | 1 | 2% |
| France | 1 | 2% |
| Australia | 1 | 2% |
| Italy | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 13 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 56% |
| Scientists | 17 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 32% |
| Student > Bachelor | 5 | 16% |
| Student > Ph. D. Student | 4 | 13% |
| Other | 3 | 10% |
| Student > Master | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 26% |
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 25 January 2024.
All research outputs
#997,791
of 25,387,668 outputs
Outputs from Genome Biology
#708
of 4,470 outputs
Outputs of similar age
#23,815
of 473,607 outputs
Outputs of similar age from Genome Biology
#31
of 98 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 84% 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 473,607 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 94% of its contemporaries.
We're also able to compare this research output to 98 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 68% of its contemporaries.