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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reference genome-independent assessment of mutation density using restriction enzyme-phased sequencing
|
|---|---|
| Published in |
BMC Genomics, February 2012
|
| DOI | 10.1186/1471-2164-13-72 |
| Pubmed ID | |
| Authors |
Jennifer Monson-Miller, Diana C Sanchez-Mendez, Joseph Fass, Isabelle M Henry, Thomas H Tai, Luca Comai |
| Abstract |
The availability of low cost sequencing has spurred its application to discovery and typing of variation, including variation induced by mutagenesis. Mutation discovery is challenging as it requires a substantial amount of sequencing and analysis to detect very rare changes and distinguish them from noise. Also challenging are the cases when the organism of interest has not been sequenced or is highly divergent from the reference. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Netherlands | 1 | 1% |
| Ireland | 1 | 1% |
| Italy | 1 | 1% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| Austria | 1 | 1% |
| Mexico | 1 | 1% |
| Paraguay | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 78 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 29% |
| Student > Ph. D. Student | 20 | 22% |
| Student > Master | 11 | 12% |
| Professor > Associate Professor | 6 | 7% |
| Professor | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 71% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Computer Science | 2 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 10 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 October 2022.
All research outputs
#2,805,921
of 23,466,057 outputs
Outputs from BMC Genomics
#953
of 10,778 outputs
Outputs of similar age
#23,760
of 254,107 outputs
Outputs of similar age from BMC Genomics
#22
of 253 outputs
Altmetric has tracked 23,466,057 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,778 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 91% 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 254,107 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 90% of its contemporaries.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.