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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-throughput sequencing of cytosine methylation in plant DNA
|
|---|---|
| Published in |
Plant Methods, June 2013
|
| DOI | 10.1186/1746-4811-9-16 |
| Pubmed ID | |
| Authors |
Thomas J Hardcastle |
| Abstract |
: Cytosine methylation is a significant and widespread regulatory factor in plant systems. Methods for the high-throughput sequencing of methylation have allowed a greatly improved characterisation of the methylome. Here we discuss currently available methods for generation and analysis of high-throughput sequencing of methylation data. We also discuss the results previously acquired through sequencing plant methylomes, and highlight remaining challenges in this field. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 5 | 83% |
| Germany | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 2 | 2% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| Indonesia | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Norway | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 111 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 27% |
| Student > Ph. D. Student | 31 | 25% |
| Student > Master | 13 | 11% |
| Student > Doctoral Student | 9 | 7% |
| Professor > Associate Professor | 7 | 6% |
| Other | 23 | 19% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 70% |
| Biochemistry, Genetics and Molecular Biology | 16 | 13% |
| Computer Science | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Mathematics | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 12 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 July 2013.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Plant Methods
#579
of 1,262 outputs
Outputs of similar age
#71,781
of 209,840 outputs
Outputs of similar age from Plant Methods
#6
of 15 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 51% 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 209,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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 53% of its contemporaries.