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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of quality trimming on the efficiency of reads joining and diversity analysis of Illumina paired-end reads in the context of QIIME1 and QIIME2 microbiome analysis frameworks
|
|---|---|
| Published in |
BMC Bioinformatics, November 2019
|
| DOI | 10.1186/s12859-019-3187-5 |
| Pubmed ID | |
| Authors |
Attayeb Mohsen, Jonguk Park, Yi-An Chen, Hitoshi Kawashima, Kenji Mizuguchi |
X Demographics
The data shown below were collected from the profiles of 38 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 | 11 | 29% |
| United Kingdom | 4 | 11% |
| Canada | 3 | 8% |
| Netherlands | 2 | 5% |
| Japan | 2 | 5% |
| France | 1 | 3% |
| Italy | 1 | 3% |
| Philippines | 1 | 3% |
| Mexico | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 61% |
| Members of the public | 14 | 37% |
| Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 22% |
| Student > Master | 22 | 17% |
| Student > Bachelor | 12 | 9% |
| Researcher | 11 | 8% |
| Other | 4 | 3% |
| Other | 10 | 8% |
| Unknown | 43 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 22% |
| Biochemistry, Genetics and Molecular Biology | 27 | 21% |
| Environmental Science | 9 | 7% |
| Immunology and Microbiology | 5 | 4% |
| Nursing and Health Professions | 3 | 2% |
| Other | 15 | 12% |
| Unknown | 42 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 04 May 2020.
All research outputs
#1,390,246
of 25,657,205 outputs
Outputs from BMC Bioinformatics
#159
of 7,734 outputs
Outputs of similar age
#29,217
of 374,436 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 226 outputs
Altmetric has tracked 25,657,205 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 7,734 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 97% 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 374,436 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 92% of its contemporaries.
We're also able to compare this research output to 226 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.