You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Imaging-Based Machine Learning Analysis of Patient-Derived Tumor Organoid Drug Response
|
|---|---|
| Published in |
Frontiers in oncology, December 2021
|
| DOI | 10.3389/fonc.2021.771173 |
| Pubmed ID | |
| Authors |
Erin R. Spiller, Nolan Ung, Seungil Kim, Katherin Patsch, Roy Lau, Carly Strelez, Chirag Doshi, Sarah Choung, Brandon Choi, Edwin Francisco Juarez Rosales, Heinz-Josef Lenz, Naim Matasci, Shannon M. Mumenthaler |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| United Kingdom | 1 | 9% |
| Argentina | 1 | 9% |
| Switzerland | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 15% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 17 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Engineering | 4 | 10% |
| Medicine and Dentistry | 4 | 10% |
| Agricultural and Biological Sciences | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 16 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 February 2022.
All research outputs
#5,588,398
of 25,837,817 outputs
Outputs from Frontiers in oncology
#1,989
of 22,773 outputs
Outputs of similar age
#128,246
of 517,467 outputs
Outputs of similar age from Frontiers in oncology
#102
of 1,353 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,773 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% 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 517,467 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1,353 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 92% of its contemporaries.