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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Piphillin predicts metagenomic composition and dynamics from DADA2-corrected 16S rDNA sequences
|
|---|---|
| Published in |
BMC Genomics, January 2020
|
| DOI | 10.1186/s12864-019-6427-1 |
| Pubmed ID | |
| Authors |
Nicole R. Narayan, Thomas Weinmaier, Emilio J. Laserna-Mendieta, Marcus J. Claesson, Fergus Shanahan, Karim Dabbagh, Shoko Iwai, Todd Z. DeSantis |
X Demographics
The data shown below were collected from the profiles of 37 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 | 7 | 19% |
| United Kingdom | 3 | 8% |
| Japan | 3 | 8% |
| Germany | 2 | 5% |
| Spain | 2 | 5% |
| Denmark | 1 | 3% |
| Hong Kong | 1 | 3% |
| Argentina | 1 | 3% |
| France | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 13 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 19 | 51% |
| Members of the public | 16 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 22% |
| Researcher | 21 | 18% |
| Student > Master | 19 | 16% |
| Student > Doctoral Student | 7 | 6% |
| Student > Bachelor | 6 | 5% |
| Other | 14 | 12% |
| Unknown | 26 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 24% |
| Biochemistry, Genetics and Molecular Biology | 23 | 19% |
| Environmental Science | 12 | 10% |
| Immunology and Microbiology | 8 | 7% |
| Medicine and Dentistry | 6 | 5% |
| Other | 10 | 8% |
| Unknown | 32 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 02 September 2020.
All research outputs
#1,257,930
of 25,378,799 outputs
Outputs from BMC Genomics
#211
of 11,231 outputs
Outputs of similar age
#30,267
of 471,181 outputs
Outputs of similar age from BMC Genomics
#8
of 246 outputs
Altmetric has tracked 25,378,799 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,231 research outputs from this source. They receive a mean Attention Score of 4.8. 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 471,181 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 93% of its contemporaries.
We're also able to compare this research output to 246 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 97% of its contemporaries.