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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving mammalian genome scaffolding using large insert mate-pair next-generation sequencing
|
|---|---|
| Published in |
BMC Genomics, April 2013
|
| DOI | 10.1186/1471-2164-14-257 |
| Pubmed ID | |
| Authors |
Sebastiaan van Heesch, Wigard P Kloosterman, Nico Lansu, Frans-Paul Ruzius, Elizabeth Levandowsky, Clarence C Lee, Shiguo Zhou, Steve Goldstein, David C Schwartz, Timothy T Harkins, Victor Guryev, Edwin Cuppen |
| Abstract |
Paired-tag sequencing approaches are commonly used for the analysis of genome structure. However, mammalian genomes have a complex organization with a variety of repetitive elements that complicate comprehensive genome-wide analyses. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 23% |
| United States | 2 | 15% |
| United Kingdom | 2 | 15% |
| Germany | 1 | 8% |
| Tunisia | 1 | 8% |
| Japan | 1 | 8% |
| Saudi Arabia | 1 | 8% |
| Norway | 1 | 8% |
| Unknown | 1 | 8% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 2 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Australia | 2 | 2% |
| United Kingdom | 2 | 2% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Germany | 1 | <1% |
| Portugal | 1 | <1% |
| Czechia | 1 | <1% |
| Canada | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 95 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 28% |
| Researcher | 26 | 23% |
| Student > Master | 12 | 11% |
| Professor > Associate Professor | 10 | 9% |
| Student > Bachelor | 5 | 4% |
| Other | 18 | 16% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 55% |
| Biochemistry, Genetics and Molecular Biology | 20 | 18% |
| Computer Science | 6 | 5% |
| Medicine and Dentistry | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 6 | 5% |
| Unknown | 13 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 May 2018.
All research outputs
#4,420,664
of 22,707,247 outputs
Outputs from BMC Genomics
#1,817
of 10,624 outputs
Outputs of similar age
#33,945
of 175,235 outputs
Outputs of similar age from BMC Genomics
#21
of 127 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 175,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.