↓ Skip to main content

Effect of BRAFmutational status on expression profiles in conventional papillary thyroid carcinomas

Overview of attention for article published in BMC Genomics, January 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
38 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Effect of BRAFmutational status on expression profiles in conventional papillary thyroid carcinomas
Published in
BMC Genomics, January 2015
DOI 10.1186/1471-2164-16-s1-s6
Pubmed ID
Authors

Hans-Juergen Schulten, Reem Alotibi, Alaa Al-Ahmadi, Manar Ata, Sajjad Karim, Etimad Huwait, Mamdooh Gari, Khalid Al-Ghamdi, Faisal Al-Mashat, Osman Abdel Al-Hamour, Mohammad Hussain Al-Qahtani, Jaudah Al-Maghrabi

Abstract

Whereas 40 % to 70 % of papillary thyroid carcinomas (PTCs) are characterized by a BRAF mutation (BRAFmut), unified biomarkers for the genetically heterogeneous group of BRAF wild type (BRAFwt) PTCs are not established yet. Using state-of-the-art technology we compared RNA expression profiles between conventional BRAFwt and BRAFmut PTCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Other 5 13%
Student > Ph. D. Student 4 11%
Professor > Associate Professor 3 8%
Student > Master 3 8%
Other 8 21%
Unknown 8 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 21%
Agricultural and Biological Sciences 8 21%
Medicine and Dentistry 3 8%
Computer Science 2 5%
Chemistry 2 5%
Other 2 5%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 January 2016.
All research outputs
#14,806,069
of 22,796,179 outputs
Outputs from BMC Genomics
#6,135
of 10,648 outputs
Outputs of similar age
#213,307
of 379,885 outputs
Outputs of similar age from BMC Genomics
#159
of 280 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,648 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 379,885 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.