| Title |
Establishment of Patient-derived Succinate Dehydrogenase-deficient Gastrointestinal Stromal Tumor Models For Predicting Therapeutic Response
|
|---|---|
| Published in |
Clinical Cancer Research, January 2022
|
| DOI | 10.1158/1078-0432.ccr-21-2092 |
| Pubmed ID | |
| Authors |
Mayra Yebra, Shruti Bhargava, Avi Kumar, Adam M Burgoyne, Chih-Min Tang, Hyunho Yoon, Sudeep Banerjee, Joseph Aguilera, Thekla Cordes, Vipul Sheth, Sangkyu Noh, Rowan Ustoy, Sam Li, Sunil J Advani, Christopher L Corless, Michael C Heinrich, Razelle Kurzrock, Scott M Lippman, Paul T Fanta, Olivier Harismendy, Christian Metallo, Jason K Sicklick |
X Demographics
The data shown below were collected from the profiles of 19 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 | 42% |
| Kenya | 1 | 5% |
| France | 1 | 5% |
| Germany | 1 | 5% |
| Mexico | 1 | 5% |
| India | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 74% |
| Scientists | 4 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 29% |
| Student > Doctoral Student | 1 | 7% |
| Professor | 1 | 7% |
| Student > Master | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 21% |
| Chemical Engineering | 1 | 7% |
| Social Sciences | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 07 July 2022.
All research outputs
#723,131
of 24,037,100 outputs
Outputs from Clinical Cancer Research
#469
of 12,895 outputs
Outputs of similar age
#18,718
of 506,309 outputs
Outputs of similar age from Clinical Cancer Research
#14
of 199 outputs
Altmetric has tracked 24,037,100 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 12,895 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done particularly well, scoring higher than 96% 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 506,309 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 96% of its contemporaries.
We're also able to compare this research output to 199 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 93% of its contemporaries.