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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implementing a Functional Precision Medicine Tumor Board for Acute Myeloid Leukemia
|
|---|---|
| Published in |
Cancer Discovery, November 2021
|
| DOI | 10.1158/2159-8290.cd-21-0410 |
| Pubmed ID | |
| Authors |
Disha Malani, Ashwini Kumar, Oscar Brück, Mika Kontro, Bhagwan Yadav, Monica Hellesøy, Heikki Kuusanmäki, Olli Dufva, Matti Kankainen, Samuli Eldfors, Swapnil Potdar, Jani Saarela, Laura Turunen, Alun Parsons, Imre Västrik, Katja Kivinen, Janna Saarela, Riikka Räty, Minna Lehto, Maija Wolf, Bjorn Tore Gjertsen, Satu Mustjoki, Tero Aittokallio, Krister Wennerberg, Caroline A. Heckman, Olli Kallioniemi, Kimmo Porkka |
X Demographics
The data shown below were collected from the profiles of 43 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 | 13 | 30% |
| Finland | 6 | 14% |
| Ireland | 2 | 5% |
| Denmark | 2 | 5% |
| Hungary | 1 | 2% |
| Switzerland | 1 | 2% |
| Sweden | 1 | 2% |
| Germany | 1 | 2% |
| Norway | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 11 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 49% |
| Scientists | 13 | 30% |
| Science communicators (journalists, bloggers, editors) | 5 | 12% |
| Practitioners (doctors, other healthcare professionals) | 4 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 15% |
| Researcher | 14 | 12% |
| Student > Master | 9 | 8% |
| Student > Postgraduate | 7 | 6% |
| Student > Doctoral Student | 5 | 4% |
| Other | 17 | 15% |
| Unknown | 48 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 23% |
| Medicine and Dentistry | 18 | 15% |
| Agricultural and Biological Sciences | 5 | 4% |
| Computer Science | 4 | 3% |
| Engineering | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 50 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 217. 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 14 April 2024.
All research outputs
#181,445
of 25,712,965 outputs
Outputs from Cancer Discovery
#67
of 4,148 outputs
Outputs of similar age
#5,035
of 517,299 outputs
Outputs of similar age from Cancer Discovery
#3
of 53 outputs
Altmetric has tracked 25,712,965 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,148 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one has done particularly well, scoring higher than 98% 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 517,299 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 99% of its contemporaries.
We're also able to compare this research output to 53 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 94% of its contemporaries.