| Title |
A Pan-ALDH1A Inhibitor Induces Necroptosis in Ovarian Cancer Stem-like Cells
|
|---|---|
| Published in |
Cell Reports, March 2019
|
| DOI | 10.1016/j.celrep.2019.02.032 |
| Pubmed ID | |
| Authors |
Ilana Chefetz, Edward Grimley, Kun Yang, Linda Hong, Ekaterina V. Vinogradova, Radu Suciu, Ilya Kovalenko, David Karnak, Cynthia A. Morgan, Mikhail Chtcherbinine, Cameron Buchman, Brandt Huddle, Scott Barraza, Meredith Morgan, Kara A. Bernstein, Euisik Yoon, David B. Lombard, Andrea Bild, Geeta Mehta, Iris Romero, Chun-Yi Chiang, Charles Landen, Benjamin Cravatt, Thomas D. Hurley, Scott D. Larsen, Ronald J. Buckanovich |
X Demographics
The data shown below were collected from the profiles of 22 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 | 8 | 36% |
| Ecuador | 1 | 5% |
| United Kingdom | 1 | 5% |
| Brazil | 1 | 5% |
| Japan | 1 | 5% |
| Unknown | 10 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 68% |
| Scientists | 4 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 16% |
| Student > Ph. D. Student | 13 | 15% |
| Student > Bachelor | 7 | 8% |
| Other | 4 | 5% |
| Student > Master | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 33 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 22% |
| Chemistry | 10 | 12% |
| Agricultural and Biological Sciences | 10 | 12% |
| Medicine and Dentistry | 8 | 9% |
| Engineering | 4 | 5% |
| Other | 2 | 2% |
| Unknown | 32 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 13 April 2023.
All research outputs
#908,971
of 25,698,912 outputs
Outputs from Cell Reports
#2,089
of 13,185 outputs
Outputs of similar age
#21,266
of 369,118 outputs
Outputs of similar age from Cell Reports
#56
of 325 outputs
Altmetric has tracked 25,698,912 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 13,185 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. 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 369,118 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 325 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.