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X Demographics
Mendeley readers
Attention Score in Context
Title |
Computational identification of biomarker genes for lung cancer considering treatment and non-treatment studies
|
---|---|
Published in |
BMC Bioinformatics, December 2020
|
DOI | 10.1186/s12859-020-3524-8 |
Pubmed ID | |
Authors |
Mona Maharjan, Raihanul Bari Tanvir, Kamal Chowdhury, Wenrui Duan, Ananda Mohan Mondal |
X Demographics
The data shown below were collected from the profiles of 9 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 | 11% |
Italy | 1 | 11% |
India | 1 | 11% |
Japan | 1 | 11% |
Sweden | 1 | 11% |
United Kingdom | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 67% |
Members of the public | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 13% |
Student > Master | 3 | 10% |
Student > Bachelor | 3 | 10% |
Other | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Other | 1 | 3% |
Unknown | 16 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 23% |
Engineering | 2 | 6% |
Computer Science | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 2 | 6% |
Unknown | 16 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 August 2021.
All research outputs
#7,417,708
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,916
of 7,387 outputs
Outputs of similar age
#184,019
of 509,453 outputs
Outputs of similar age from BMC Bioinformatics
#73
of 164 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,387 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 58% 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 509,453 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 63% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.