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X Demographics
Mendeley readers
Attention Score in Context
Title |
Next-generation sequencing reveals large connected networks of intra-host HCV variants
|
---|---|
Published in |
BMC Genomics, July 2014
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DOI | 10.1186/1471-2164-15-s5-s4 |
Pubmed ID | |
Authors |
David S Campo, Zoya Dimitrova, Lilian Yamasaki, Pavel Skums, Daryl TY Lau, Gilberto Vaughan, Joseph C Forbi, Chong-Gee Teo, Yury Khudyakov |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | 3% |
United States | 1 | 3% |
Netherlands | 1 | 3% |
Unknown | 31 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 18% |
Researcher | 6 | 18% |
Student > Master | 6 | 18% |
Professor > Associate Professor | 4 | 12% |
Student > Doctoral Student | 3 | 9% |
Other | 6 | 18% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 35% |
Medicine and Dentistry | 6 | 18% |
Biochemistry, Genetics and Molecular Biology | 5 | 15% |
Computer Science | 3 | 9% |
Mathematics | 1 | 3% |
Other | 2 | 6% |
Unknown | 5 | 15% |
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 04 August 2014.
All research outputs
#13,916,722
of 22,758,248 outputs
Outputs from BMC Genomics
#5,338
of 10,637 outputs
Outputs of similar age
#114,719
of 226,895 outputs
Outputs of similar age from BMC Genomics
#87
of 200 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 226,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 200 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 52% of its contemporaries.