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X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms
|
---|---|
Published in |
BMC Systems Biology, April 2019
|
DOI | 10.1186/s12918-019-0693-z |
Pubmed ID | |
Authors |
Yangyang Hao, Quan-Yang Duh, Richard T. Kloos, Joshua Babiarz, R. Mack Harrell, S. Thomas Traweek, Su Yeon Kim, Grazyna Fedorowicz, P. Sean Walsh, Peter M. Sadow, Jing Huang, Giulia C. Kennedy |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
Australia | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 8 | 18% |
Other | 5 | 11% |
Researcher | 5 | 11% |
Student > Master | 4 | 9% |
Student > Ph. D. Student | 2 | 4% |
Other | 5 | 11% |
Unknown | 16 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 31% |
Biochemistry, Genetics and Molecular Biology | 5 | 11% |
Nursing and Health Professions | 3 | 7% |
Computer Science | 2 | 4% |
Mathematics | 1 | 2% |
Other | 3 | 7% |
Unknown | 17 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 68. 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 01 May 2019.
All research outputs
#542,729
of 23,140,503 outputs
Outputs from BMC Systems Biology
#3
of 1,144 outputs
Outputs of similar age
#13,574
of 352,213 outputs
Outputs of similar age from BMC Systems Biology
#1
of 16 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 99% 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 352,213 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.