The data shown below were collected from the profiles of 13 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 |
Integrating AI-powered digital pathology and imaging mass cytometry identifies key classifiers of tumor cells, stroma, and immune cells in non-small cell lung cancer
|
|---|---|
| Published in |
Cancer Research, February 2024
|
| DOI | 10.1158/0008-5472.can-23-1698 |
| Pubmed ID | |
| Authors |
Alessandra Rigamonti, Marika Viatore, Rebecca Polidori, Daoud Rahal, Marco Erreni, Maria Rita. Fumagalli, Damiano Zanini, Andrea Doni, Anna Rita. Putignano, Paola Bossi, Emanuele Voulaz, Marco Alloisio, Sabrina Rossi, Paolo Andrea. Zucali, Armando Santoro, Vittoria Balzano, Paola Nisticò, Friedrich Feuerhake, Alberto Mantovani, Massimo Locati, Federica Marchesi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 3 | 23% |
| United States | 1 | 8% |
| Unknown | 9 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 54% |
| Members of the public | 3 | 23% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 33% |
| Student > Master | 3 | 25% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 42% |
| Medicine and Dentistry | 3 | 25% |
| Engineering | 2 | 17% |
| Unknown | 2 | 17% |
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 04 April 2024.
All research outputs
#4,333,754
of 26,386,754 outputs
Outputs from Cancer Research
#4,133
of 19,246 outputs
Outputs of similar age
#63,477
of 378,598 outputs
Outputs of similar age from Cancer Research
#24
of 89 outputs
Altmetric has tracked 26,386,754 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 19,246 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 78% 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 378,598 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 83% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.