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Mendeley readers
Attention Score in Context
| Title |
Spectrum of somatic mutations detected by targeted next-generation sequencing and their prognostic significance in adult patients with acute lymphoblastic leukemia
|
|---|---|
| Published in |
Journal of Hematology & Oncology, February 2017
|
| DOI | 10.1186/s13045-017-0431-1 |
| Pubmed ID | |
| Authors |
Juan Feng, Yan Li, Yujiao Jia, Qiuyun Fang, Xiaoyuan Gong, Xiaobao Dong, Kun Ru, Qinghua Li, Xingli Zhao, Kaiqi Liu, Min Wang, Zheng Tian, Yannan Jia, Ying Wang, Dong Lin, Hui Wei, Kejing Tang, Yingchang Mi, Jianxiang Wang |
| Abstract |
Target-specific next-generation sequencing technology was used to analyze 112 genes in adult patients with acute lymphoblastic leukemia (ALL). This sequencing mainly focused on the specific mutational hotspots. Among the 121 patients, 93 patients were B-ALL (76.9%), and 28 patients (23.1%) were T-ALL. Of the 121 patients, 110 (90.9%) harbored at least one mutation. The five most frequently mutated genes in T-ALL are NOTCH1, JAK3, FBXW7, FAT1, and NRAS. In B-ALL, FAT1, SF1, CRLF2, TET2, and PTPN1 have higher incidence of mutations. Gene mutations are different between Ph(+)ALL and Ph(-)ALL patients. B-ALL patients with PTPN11 mutation and T-ALL patients with NOTCH1 and/or FBXW7 mutations showed better survival. But B-ALL with JAK1/JAK2 mutations showed worse survival. The results suggest that gene mutations exist in adult ALL patients universally, they are related with prognosis. |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Researcher | 6 | 17% |
| Student > Master | 4 | 11% |
| Student > Postgraduate | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 31% |
| Medicine and Dentistry | 9 | 25% |
| Chemistry | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 December 2017.
All research outputs
#4,662,316
of 24,716,872 outputs
Outputs from Journal of Hematology & Oncology
#384
of 1,267 outputs
Outputs of similar age
#77,813
of 315,688 outputs
Outputs of similar age from Journal of Hematology & Oncology
#10
of 40 outputs
Altmetric has tracked 24,716,872 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 68% 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 315,688 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 73% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.