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Challenging dedifferentiated liposarcoma identified by MDM2-amplification, a report of two cases

Overview of attention for article published in BMC Clinical Pathology, July 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#33 of 117)
  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

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5 tweeters

Citations

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8 Dimensions

Readers on

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17 Mendeley
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Title
Challenging dedifferentiated liposarcoma identified by MDM2-amplification, a report of two cases
Published in
BMC Clinical Pathology, July 2014
DOI 10.1186/1472-6890-14-36
Pubmed ID
Authors

Suvi Lokka, Andreas H Scheel, Sebastian Dango, Katja Schmitz, Rudolf Hesterberg, Josef Rüschoff, Hans-Ulrich Schildhaus

Abstract

Liposarcoma is the most frequent soft tissue sarcoma. Well differentiated liposarcoma may progress into dedifferentiated liposarcoma with pleomorphic histology. A minority additionally features myogenic, osteo- or chondrosarcomatous heterologous differentiation. Genomic amplification of the Mouse double minute 2 homolog (MDM2) locus is characteristic for well differentiated and dedifferentiated liposarcomas. Detection of MDM2 amplification may supplement histopathology and aid to distinguish liposarcoma from other soft tissue neoplasia.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 41%
Student > Ph. D. Student 4 24%
Student > Bachelor 2 12%
Professor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Medicine and Dentistry 8 47%
Biochemistry, Genetics and Molecular Biology 3 18%
Agricultural and Biological Sciences 2 12%
Computer Science 1 6%
Unknown 3 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 September 2014.
All research outputs
#8,433,911
of 16,056,369 outputs
Outputs from BMC Clinical Pathology
#33
of 117 outputs
Outputs of similar age
#75,231
of 195,613 outputs
Outputs of similar age from BMC Clinical Pathology
#1
of 1 outputs
Altmetric has tracked 16,056,369 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 117 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 71% 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 195,613 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 61% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them