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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stochastic modeling reveals kinetic heterogeneity in post-replication DNA methylation
|
|---|---|
| Published in |
PLoS Computational Biology, April 2020
|
| DOI | 10.1371/journal.pcbi.1007195 |
| Pubmed ID | |
| Authors |
Luis Busto-Moner, Julien Morival, Honglei Ren, Arjang Fahim, Zachary Reitz, Timothy L. Downing, Elizabeth L. Read |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 50% |
| France | 2 | 20% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 4 | 12% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 13 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Chemistry | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Engineering | 2 | 6% |
| Chemical Engineering | 2 | 6% |
| Other | 9 | 26% |
| Unknown | 15 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 12 June 2020.
All research outputs
#4,777,025
of 25,870,940 outputs
Outputs from PLoS Computational Biology
#3,757
of 9,061 outputs
Outputs of similar age
#103,238
of 402,986 outputs
Outputs of similar age from PLoS Computational Biology
#93
of 189 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,061 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has gotten more attention than average, scoring higher than 58% 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 402,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 189 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 50% of its contemporaries.