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X Demographics
Mendeley readers
Attention Score in Context
Title |
XPO1 expression worsens the prognosis of unfavorable DLBCL that can be effectively targeted by selinexor in the absence of mutant p53
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Published in |
Journal of Hematology & Oncology, November 2020
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DOI | 10.1186/s13045-020-00982-3 |
Pubmed ID | |
Authors |
Manman Deng, Mingzhi Zhang, Zijun Y. Xu-Monette, Lan V. Pham, Alexandar Tzankov, Carlo Visco, Xiaosheng Fang, Govind Bhagat, Feng Zhu, Karen Dybkaer, April Chiu, Wayne Tam, Youli Zu, Eric D. Hsi, William W. L. Choi, Jooryung Huh, Maurilio Ponzoni, Andrés J. M. Ferreri, Michael B. Møller, Benjamin M. Parsons, J. Han van Krieken, Miguel A. Piris, Jane N. Winter, Fredrick Hagemeister, Lapo Alinari, Yong Li, Michael Andreeff, Bing Xu, Ken H. Young |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 4 | 14% |
Student > Bachelor | 3 | 11% |
Researcher | 3 | 11% |
Student > Doctoral Student | 2 | 7% |
Professor | 2 | 7% |
Other | 6 | 21% |
Unknown | 8 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 43% |
Biochemistry, Genetics and Molecular Biology | 4 | 14% |
Computer Science | 2 | 7% |
Nursing and Health Professions | 1 | 4% |
Chemistry | 1 | 4% |
Other | 0 | 0% |
Unknown | 8 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 November 2020.
All research outputs
#20,662,373
of 23,257,423 outputs
Outputs from Journal of Hematology & Oncology
#1,048
of 1,205 outputs
Outputs of similar age
#359,544
of 420,923 outputs
Outputs of similar age from Journal of Hematology & Oncology
#40
of 42 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,205 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 420,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.