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Mendeley readers
Attention Score in Context
| Title |
Development of acute myeloid leukemia in patients with untreated chronic lymphocytic leukemia
|
|---|---|
| Published in |
Annals of Hematology, February 2017
|
| DOI | 10.1007/s00277-017-2933-x |
| Pubmed ID | |
| Authors |
Shoko Ito, Shin-ichiro Fujiwara, Kiyomi Mashima, Kento Umino, Daisuke Minakata, Hirofumi Nakano, Ryoko Yamasaki, Yasufumi Kawasaki, Miyuki Sugimoto, Masahiro Ashizawa, Chihiro Yamamoto, Kaoru Hatano, Kiyoshi Okazuka, Kazuya Sato, Iekuni Oh, Ken Ohmine, Takahiro Suzuki, Kazuo Muroi, Yoshinobu Kanda |
| Abstract |
The development of acute myeloid leukemia (AML) in patients with untreated chronic lymphocytic leukemia (CLL) is rare. We experienced a 65-year-old man who developed AML with aberrant CD7 expression and monoallelic CEBPA mutation during watchful waiting for CLL. He failed to achieve complete response (CR) by standard induction therapy for AML. We retrospectively reviewed 27 patients who developed AML with untreated CLL published between 1973 and 2016. The median age at diagnosis of AML was 68 years, and the median duration between the diagnoses of AML and CLL was 4.2 years. Diagnosis of AML and CLL was made simultaneously in 16 patients. The CR rate of AML was 42.9%, and the median survival was only 1.5 months after the diagnosis of AML. Patients who achieved CR tended to survive longer than those who did not. Our results demonstrated that the development of AML in patients with untreated CLL was associated with a poor response to chemotherapy and an extremely poor prognosis. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 13% |
| Other | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Doctoral Student | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 39% |
| Nursing and Health Professions | 2 | 9% |
| Computer Science | 1 | 4% |
| Unknown | 11 | 48% |
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 18 August 2017.
All research outputs
#18,565,641
of 22,994,508 outputs
Outputs from Annals of Hematology
#1,479
of 2,200 outputs
Outputs of similar age
#310,876
of 420,528 outputs
Outputs of similar age from Annals of Hematology
#18
of 23 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,200 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 21st percentile – i.e., 21% 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 420,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.