The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types
|
|---|---|
| Published in |
Frontiers in Genetics, February 2022
|
| DOI | 10.3389/fgene.2021.806386 |
| Pubmed ID | |
| Authors |
Chiara Maria Lavinia Loeffler, Nadine T. Gaisa, Hannah Sophie Muti, Marko van Treeck, Amelie Echle, Narmin Ghaffari Laleh, Christian Trautwein, Lara R. Heij, Heike I. Grabsch, Nadina Ortiz Bruechle, Jakob Nikolas Kather |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 13 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 17% |
| Medicine and Dentistry | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Unspecified | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 October 2022.
All research outputs
#18,285,234
of 23,482,849 outputs
Outputs from Frontiers in Genetics
#6,334
of 12,502 outputs
Outputs of similar age
#297,842
of 439,891 outputs
Outputs of similar age from Frontiers in Genetics
#381
of 915 outputs
Altmetric has tracked 23,482,849 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,502 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 439,891 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 915 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.