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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology
|
|---|---|
| Published in |
Giga Science, December 2014
|
| DOI | 10.1186/2047-217x-3-34 |
| Pubmed ID | |
| Authors |
Hongzhi Cao, Alex R Hastie, Dandan Cao, Ernest T Lam, Yuhui Sun, Haodong Huang, Xiao Liu, Liya Lin, Warren Andrews, Saki Chan, Shujia Huang, Xin Tong, Michael Requa, Thomas Anantharaman, Anders Krogh, Huanming Yang, Han Cao, Xun Xu |
X Demographics
The data shown below were collected from the profiles of 24 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 | 7 | 29% |
| China | 2 | 8% |
| United Kingdom | 2 | 8% |
| Hong Kong | 1 | 4% |
| Canada | 1 | 4% |
| Norway | 1 | 4% |
| Unknown | 10 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 50% |
| Scientists | 11 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Netherlands | 2 | 1% |
| Hong Kong | 2 | 1% |
| United States | 2 | 1% |
| Thailand | 1 | <1% |
| France | 1 | <1% |
| Unknown | 164 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 25% |
| Researcher | 35 | 20% |
| Student > Master | 20 | 11% |
| Student > Bachelor | 13 | 7% |
| Other | 12 | 7% |
| Other | 28 | 16% |
| Unknown | 24 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 74 | 42% |
| Biochemistry, Genetics and Molecular Biology | 26 | 15% |
| Computer Science | 11 | 6% |
| Chemistry | 8 | 5% |
| Engineering | 8 | 5% |
| Other | 21 | 12% |
| Unknown | 27 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 21 February 2021.
All research outputs
#1,105,470
of 25,374,917 outputs
Outputs from Giga Science
#176
of 1,168 outputs
Outputs of similar age
#14,370
of 359,548 outputs
Outputs of similar age from Giga Science
#5
of 17 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 84% 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 359,548 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 17 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 70% of its contemporaries.