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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NT-seq: a chemical-based sequencing method for genomic methylome profiling
|
|---|---|
| Published in |
Genome Biology, May 2022
|
| DOI | 10.1186/s13059-022-02689-9 |
| Pubmed ID | |
| Authors |
Xuwen Li, Shiyuan Guo, Yan Cui, Zijian Zhang, Xinlong Luo, Margarita T. Angelova, Laura F. Landweber, Yinsheng Wang, Tao P. Wu |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| United Kingdom | 3 | 21% |
| India | 2 | 14% |
| Turkey | 1 | 7% |
| Mexico | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Student > Doctoral Student | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Professor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 28% |
| Biochemistry, Genetics and Molecular Biology | 5 | 28% |
| Chemical Engineering | 1 | 6% |
| Neuroscience | 1 | 6% |
| Materials Science | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 202. 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 07 July 2022.
All research outputs
#196,500
of 25,622,179 outputs
Outputs from Genome Biology
#58
of 4,496 outputs
Outputs of similar age
#5,826
of 445,571 outputs
Outputs of similar age from Genome Biology
#1
of 58 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,496 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 98% 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 445,571 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 98% of its contemporaries.
We're also able to compare this research output to 58 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 99% of its contemporaries.