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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears
|
|---|---|
| Published in |
BMC Cancer, February 2022
|
| DOI | 10.1186/s12885-022-09307-8 |
| Pubmed ID | |
| Authors |
Jan-Niklas Eckardt, Tim Schmittmann, Sebastian Riechert, Michael Kramer, Anas Shekh Sulaiman, Katja Sockel, Frank Kroschinsky, Johannes Schetelig, Lisa Wagenführ, Ulrich Schuler, Uwe Platzbecker, Christian Thiede, Friedrich Stölzel, Christoph Röllig, Martin Bornhäuser, Karsten Wendt, Jan Moritz Middeke |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 12% |
| Student > Postgraduate | 3 | 7% |
| Student > Master | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 25 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Engineering | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 27 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 February 2022.
All research outputs
#13,672,930
of 23,197,711 outputs
Outputs from BMC Cancer
#3,038
of 8,417 outputs
Outputs of similar age
#192,494
of 440,864 outputs
Outputs of similar age from BMC Cancer
#58
of 252 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,417 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 62% 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 440,864 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 252 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 74% of its contemporaries.