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Long non-coding RNAs defining major subtypes of B cell precursor acute lymphoblastic leukemia

Overview of attention for article published in Journal of Hematology & Oncology, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

news
1 news outlet
twitter
3 tweeters

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
56 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 14%
Researcher 8 14%
Student > Master 7 13%
Student > Bachelor 6 11%
Professor 3 5%
Other 7 13%
Unknown 17 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Medicine and Dentistry 10 18%
Computer Science 4 7%
Agricultural and Biological Sciences 3 5%
Unspecified 3 5%
Other 4 7%
Unknown 18 32%

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
#2,114,963
of 17,371,891 outputs
Outputs from Journal of Hematology & Oncology
#92
of 860 outputs
Outputs of similar age
#58,728
of 342,243 outputs
Outputs of similar age from Journal of Hematology & Oncology
#1
of 1 outputs
Altmetric has tracked 17,371,891 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 860 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 89% 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 342,243 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 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them