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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer
|
|---|---|
| Published in |
Genome Medicine, March 2021
|
| DOI | 10.1186/s13073-021-00845-7 |
| Pubmed ID | |
| Authors |
Hryhorii Chereda, Annalen Bleckmann, Kerstin Menck, Júlia Perera-Bel, Philip Stegmaier, Florian Auer, Frank Kramer, Andreas Leha, Tim Beißbarth |
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 % |
|---|---|---|
| Germany | 3 | 27% |
| United Kingdom | 1 | 9% |
| Luxembourg | 1 | 9% |
| India | 1 | 9% |
| France | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 144 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 13% |
| Researcher | 17 | 12% |
| Student > Ph. D. Student | 15 | 10% |
| Other | 10 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 16 | 11% |
| Unknown | 61 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 19% |
| Engineering | 13 | 9% |
| Biochemistry, Genetics and Molecular Biology | 13 | 9% |
| Medicine and Dentistry | 5 | 3% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 15 | 10% |
| Unknown | 66 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 20 October 2022.
All research outputs
#3,995,141
of 24,643,522 outputs
Outputs from Genome Medicine
#810
of 1,518 outputs
Outputs of similar age
#93,197
of 426,971 outputs
Outputs of similar age from Genome Medicine
#29
of 54 outputs
Altmetric has tracked 24,643,522 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,518 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 46th percentile – i.e., 46% 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 426,971 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.