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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection of cell-free microbial DNA using a contaminant-controlled analysis framework
|
|---|---|
| Published in |
Genome Biology, June 2021
|
| DOI | 10.1186/s13059-021-02401-3 |
| Pubmed ID | |
| Authors |
Enrique Zozaya-Valdés, Stephen Q. Wong, Jeanette Raleigh, Athena Hatzimihalis, Sarah Ftouni, Anthony T. Papenfuss, Shahneen Sandhu, Mark A. Dawson, Sarah-Jane Dawson |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 9 | 31% |
| United States | 4 | 14% |
| United Kingdom | 2 | 7% |
| Hong Kong | 1 | 3% |
| Unknown | 13 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 66% |
| Scientists | 7 | 24% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 19% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Student > Master | 3 | 5% |
| Other | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 32 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 19% |
| Immunology and Microbiology | 5 | 8% |
| Agricultural and Biological Sciences | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Social Sciences | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 34 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 25 July 2021.
All research outputs
#1,512,020
of 25,392,582 outputs
Outputs from Genome Biology
#1,216
of 4,470 outputs
Outputs of similar age
#38,136
of 454,785 outputs
Outputs of similar age from Genome Biology
#26
of 74 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 gotten more attention than average, scoring higher than 72% 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 454,785 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 91% of its contemporaries.
We're also able to compare this research output to 74 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 64% of its contemporaries.