Title |
Towards artificial intelligence-driven pathology assessment for hematological malignancies
|
---|---|
Published in |
Blood Cancer Discovery, March 2021
|
DOI | 10.1158/2643-3230.bcd-21-0048 |
Pubmed ID | |
Authors |
Olivier Elemento |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 7 | 20% |
United States | 6 | 17% |
United Kingdom | 2 | 6% |
Canada | 1 | 3% |
Australia | 1 | 3% |
Austria | 1 | 3% |
Switzerland | 1 | 3% |
India | 1 | 3% |
Brazil | 1 | 3% |
Other | 1 | 3% |
Unknown | 13 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 69% |
Scientists | 8 | 23% |
Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 18% |
Other | 2 | 18% |
Student > Ph. D. Student | 1 | 9% |
Lecturer > Senior Lecturer | 1 | 9% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 18% |
Computer Science | 1 | 9% |
Medicine and Dentistry | 1 | 9% |
Engineering | 1 | 9% |
Unknown | 6 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 11 April 2022.
All research outputs
#865,947
of 24,846,849 outputs
Outputs from Blood Cancer Discovery
#39
of 198 outputs
Outputs of similar age
#24,049
of 430,581 outputs
Outputs of similar age from Blood Cancer Discovery
#8
of 20 outputs
Altmetric has tracked 24,846,849 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 198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one has done well, scoring higher than 80% 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 430,581 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 94% of its contemporaries.
We're also able to compare this research output to 20 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 65% of its contemporaries.