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X Demographics
Mendeley readers
Attention Score in Context
| Title |
tidyMicro: a pipeline for microbiome data analysis and visualization using the tidyverse in R
|
|---|---|
| Published in |
BMC Bioinformatics, February 2021
|
| DOI | 10.1186/s12859-021-03967-2 |
| Pubmed ID | |
| Authors |
Charlie M. Carpenter, Daniel N. Frank, Kayla Williamson, Jaron Arbet, Brandie D. Wagner, Katerina Kechris, Miranda E. Kroehl |
X Demographics
The data shown below were collected from the profiles of 76 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 | 21 | 28% |
| Japan | 4 | 5% |
| France | 4 | 5% |
| United Kingdom | 3 | 4% |
| India | 3 | 4% |
| Netherlands | 3 | 4% |
| Mexico | 2 | 3% |
| Australia | 2 | 3% |
| Italy | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 28 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 38 | 50% |
| Members of the public | 36 | 47% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 20% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 9 | 10% |
| Professor | 7 | 8% |
| Other | 13 | 14% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 17% |
| Biochemistry, Genetics and Molecular Biology | 15 | 16% |
| Medicine and Dentistry | 6 | 7% |
| Environmental Science | 6 | 7% |
| Immunology and Microbiology | 4 | 4% |
| Other | 19 | 21% |
| Unknown | 26 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 30 September 2022.
All research outputs
#1,010,688
of 25,364,603 outputs
Outputs from BMC Bioinformatics
#76
of 7,692 outputs
Outputs of similar age
#29,048
of 526,348 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 134 outputs
Altmetric has tracked 25,364,603 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,692 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 526,348 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 94% of its contemporaries.
We're also able to compare this research output to 134 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 98% of its contemporaries.