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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long non-coding RNAs defining major subtypes of B cell precursor acute lymphoblastic leukemia
|
|---|---|
| Published in |
Journal of Hematology & Oncology, January 2019
|
| DOI | 10.1186/s13045-018-0692-3 |
| Pubmed ID | |
| Authors |
Alva Rani James, Michael P. Schroeder, Martin Neumann, Lorenz Bastian, Cornelia Eckert, Nicola Gökbuget, Jutta Ortiz Tanchez, Cornelia Schlee, Konstandina Isaakidis, Stefan Schwartz, Thomas Burmeister, Arend von Stackelberg, Michael A. Rieger, Stefanie Göllner, Martin Horstman, Martin Schrappe, Renate Kirschner-Schwabe, Monika Brüggemann, Carsten Müller-Tidow, Hubert Serve, Altuna Akalin, Claudia D. Baldus |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 16% |
| Student > Master | 9 | 14% |
| Student > Bachelor | 7 | 11% |
| Student > Ph. D. Student | 7 | 11% |
| Professor | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 19 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 25% |
| Medicine and Dentistry | 11 | 17% |
| Computer Science | 5 | 8% |
| Agricultural and Biological Sciences | 3 | 5% |
| Immunology and Microbiology | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 20 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 March 2020.
All research outputs
#2,928,945
of 23,124,001 outputs
Outputs from Journal of Hematology & Oncology
#212
of 1,201 outputs
Outputs of similar age
#70,186
of 438,310 outputs
Outputs of similar age from Journal of Hematology & Oncology
#8
of 26 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,201 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 81% 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 438,310 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 26 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.