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Identification of novel prognostic markers in cervical intraepithelial neoplasia using LDMAS (LOH Data Management and Analysis Software)

Overview of attention for article published in BMC Bioinformatics, January 2005
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Mentioned by

patent
1 patent

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
16 Mendeley
connotea
1 Connotea
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Title
Identification of novel prognostic markers in cervical intraepithelial neoplasia using LDMAS (LOH Data Management and Analysis Software)
Published in
BMC Bioinformatics, January 2005
DOI 10.1186/1471-2105-6-18
Pubmed ID
Authors

Rifat A Hamoudi, Amina El-Hamidi, Ming-Qing Du

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 13%
Other 2 13%
Researcher 2 13%
Student > Ph. D. Student 2 13%
Lecturer 1 6%
Other 3 19%
Unknown 4 25%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Unspecified 2 13%
Agricultural and Biological Sciences 2 13%
Environmental Science 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 4 25%
Attention Score in Context

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 23 September 2014.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from BMC Bioinformatics
#3,234
of 7,692 outputs
Outputs of similar age
#41,006
of 158,183 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 19 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,692 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 158,183 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 19 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.