| Title |
Advantages of genome sequencing by long-read sequencer using SMRT technology in medical area
|
|---|---|
| Published in |
Human Cell, March 2017
|
| DOI | 10.1007/s13577-017-0168-8 |
| Pubmed ID | |
| Authors |
Kazuma Nakano, Akino Shiroma, Makiko Shimoji, Hinako Tamotsu, Noriko Ashimine, Shun Ohki, Misuzu Shinzato, Maiko Minami, Tetsuhiro Nakanishi, Kuniko Teruya, Kazuhito Satou, Takashi Hirano |
X Demographics
The data shown below were collected from the profiles of 20 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 | 4 | 20% |
| United Kingdom | 3 | 15% |
| Australia | 1 | 5% |
| Peru | 1 | 5% |
| France | 1 | 5% |
| Norway | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 50% |
| Members of the public | 10 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 268 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 19% |
| Student > Master | 45 | 17% |
| Researcher | 37 | 14% |
| Student > Bachelor | 28 | 10% |
| Student > Doctoral Student | 12 | 4% |
| Other | 34 | 13% |
| Unknown | 62 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 85 | 32% |
| Agricultural and Biological Sciences | 60 | 22% |
| Medicine and Dentistry | 15 | 6% |
| Immunology and Microbiology | 14 | 5% |
| Computer Science | 7 | 3% |
| Other | 19 | 7% |
| Unknown | 68 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 March 2020.
All research outputs
#1,466,434
of 26,017,215 outputs
Outputs from Human Cell
#9
of 474 outputs
Outputs of similar age
#28,207
of 326,542 outputs
Outputs of similar age from Human Cell
#1
of 4 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 474 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 98% 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 326,542 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 91% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them