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Cytogenetic features in myelodysplastic syndromes

Overview of attention for article published in Annals of Hematology, April 2008
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 X user
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4 patents
wikipedia
1 Wikipedia page

Citations

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174 Dimensions

Readers on

mendeley
132 Mendeley
citeulike
1 CiteULike
Title
Cytogenetic features in myelodysplastic syndromes
Published in
Annals of Hematology, April 2008
DOI 10.1007/s00277-008-0483-y
Pubmed ID
Authors

Detlef Haase

Abstract

Myelodysplastic syndromes (MDS) comprise a group of bone marrow diseases characterized by profound heterogeneity in morphologic presentation, clinical course, and cytogenetic features. Roughly 50% of patients display clonal chromosome abnormalities. In several multicentric studies, the karyotype turned out to be one of the most important prognostic parameters and was incorporated into statistical models aiming for a better prediction of the individual prognosis like the International Prognostic Scoring System. However, due to the profound cytogenetic heterogeneity, the impact of many rare abnormalities as well as combinations of anomalies occurring in a substantial portion of patients with MDS is still unknown and can only be delineated on the basis of large international multicentric cooperations. Recently, the German-Austrian MDS Study Group presented cytogenetic findings in 2,072 patients with MDS, which serve as a basis for the characterization of the cytogenetic subgroups discussed in this article. The availability of new therapeutic options for low- and high-risk MDS targeted against distinct entities characterized by specific chromosome abnormalities, like 5q-deletions, monosomy 7, and complex abnormalities underlines the important role of cytogenetics for the clinical management of MDS. This article thus focuses on the clinical and prognostic relevance, the molecular background, and therapeutic perspectives in these three cytogenetic subgroups.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Malaysia 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Unknown 127 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 22 17%
Student > Ph. D. Student 20 15%
Researcher 16 12%
Other 13 10%
Student > Master 12 9%
Other 24 18%
Unknown 25 19%
Readers by discipline Count As %
Medicine and Dentistry 51 39%
Biochemistry, Genetics and Molecular Biology 32 24%
Agricultural and Biological Sciences 16 12%
Computer Science 2 2%
Earth and Planetary Sciences 1 <1%
Other 3 2%
Unknown 27 20%
Attention Score in Context

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 21 December 2021.
All research outputs
#4,500,100
of 22,729,647 outputs
Outputs from Annals of Hematology
#194
of 2,163 outputs
Outputs of similar age
#15,177
of 81,645 outputs
Outputs of similar age from Annals of Hematology
#2
of 9 outputs
Altmetric has tracked 22,729,647 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 2,163 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 90% 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 81,645 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.