| Title |
Mycoplasma contamination in the 1000 Genomes Project
|
|---|---|
| Published in |
BioData Mining, April 2014
|
| DOI | 10.1186/1756-0381-7-3 |
| Pubmed ID | |
| Authors |
William B Langdon |
| Abstract |
In silco Biology is increasingly important and is often based on public data. While the problem of contamination is well recognised in microbiology labs the corresponding problem of database corruption has received less attention. |
X Demographics
The data shown below were collected from the profiles of 66 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 | 16 | 24% |
| United Kingdom | 7 | 11% |
| Japan | 3 | 5% |
| India | 3 | 5% |
| Germany | 3 | 5% |
| Spain | 2 | 3% |
| New Zealand | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Austria | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 24 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 32 | 48% |
| Members of the public | 30 | 45% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Germany | 2 | 3% |
| Italy | 1 | 1% |
| Brazil | 1 | 1% |
| Sweden | 1 | 1% |
| France | 1 | 1% |
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| Slovenia | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 66 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 33% |
| Student > Ph. D. Student | 21 | 27% |
| Other | 8 | 10% |
| Student > Master | 5 | 6% |
| Professor > Associate Professor | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 54% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Medicine and Dentistry | 7 | 9% |
| Computer Science | 5 | 6% |
| Immunology and Microbiology | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 4 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 13 July 2018.
All research outputs
#551,829
of 25,080,471 outputs
Outputs from BioData Mining
#2
of 320 outputs
Outputs of similar age
#4,910
of 233,545 outputs
Outputs of similar age from BioData Mining
#1
of 5 outputs
Altmetric has tracked 25,080,471 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 320 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 99% 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 233,545 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 97% of its contemporaries.
We're also able to compare this research output to 5 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