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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Benchmark Study on Error Assessment and Quality Control of CCS Reads Derived from the PacBio RS
|
|---|---|
| Published in |
Journal of data mining in genomics proteomics, January 2013
|
| DOI | 10.4172/2153-0602.1000136 |
| Pubmed ID | |
| Authors |
Xiaoli Jiao, Xin Zheng, Liang Ma, Geetha Kutty, Emile Gogineni, Qiang Sun, Brad T Sherman, Xiaojun Hu, Kristine Jones, Castle Raley, Bao Tran, David J Munroe, Robert Stephens, Dun Liang, Tomozumi Imamichi, Joseph A Kovacs, Richard A Lempicki, Da Wei Huang |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Norway | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 2 | 2% |
| United Kingdom | 2 | 2% |
| Korea, Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 100 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 19% |
| Researcher | 20 | 19% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 20 | 19% |
| Unknown | 21 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 41% |
| Biochemistry, Genetics and Molecular Biology | 25 | 23% |
| Medicine and Dentistry | 9 | 8% |
| Immunology and Microbiology | 2 | 2% |
| Mathematics | 1 | <1% |
| Other | 6 | 6% |
| Unknown | 21 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 November 2013.
All research outputs
#17,700,438
of 25,837,817 outputs
Outputs from Journal of data mining in genomics proteomics
#28
of 83 outputs
Outputs of similar age
#197,312
of 292,453 outputs
Outputs of similar age from Journal of data mining in genomics proteomics
#3
of 10 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 83 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 8th percentile – i.e., 8% 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 292,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.