The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
Title |
DNMT3A R882 Mutations Confer Unique Clinicopathologic Features in MDS Including a High Risk of AML Transformation
|
---|---|
Published in |
Frontiers in oncology, February 2022
|
DOI | 10.3389/fonc.2022.849376 |
Pubmed ID | |
Authors |
Majd Jawad, Michelle Afkhami, Yi Ding, Xiaohui Zhang, Peng Li, Kim Young, Mina Luqing Xu, Wei Cui, Yiqing Zhao, Stephanie Halene, Aref Al-Kali, David Viswanatha, Dong Chen, Rong He, Gang Zheng |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 31% |
Unknown | 9 | 69% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 62% |
Scientists | 3 | 23% |
Practitioners (doctors, other healthcare professionals) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 17% |
Student > Doctoral Student | 2 | 11% |
Student > Bachelor | 2 | 11% |
Student > Ph. D. Student | 1 | 6% |
Other | 1 | 6% |
Other | 0 | 0% |
Unknown | 9 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 22% |
Biochemistry, Genetics and Molecular Biology | 3 | 17% |
Immunology and Microbiology | 1 | 6% |
Unknown | 10 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 June 2023.
All research outputs
#3,794,930
of 26,268,316 outputs
Outputs from Frontiers in oncology
#1,246
of 22,956 outputs
Outputs of similar age
#85,300
of 456,504 outputs
Outputs of similar age from Frontiers in oncology
#81
of 1,563 outputs
Altmetric has tracked 26,268,316 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,956 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 94% 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 456,504 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 81% of its contemporaries.
We're also able to compare this research output to 1,563 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.