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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pre- and post-sequencing recommendations for functional annotation of human fecal metagenomes
|
|---|---|
| Published in |
BMC Bioinformatics, February 2020
|
| DOI | 10.1186/s12859-020-3416-y |
| Pubmed ID | |
| Authors |
Michelle L. Treiber, Diana H. Taft, Ian Korf, David A. Mills, Danielle G. Lemay |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 4 | 25% |
| United States | 3 | 19% |
| France | 1 | 6% |
| Denmark | 1 | 6% |
| India | 1 | 6% |
| Spain | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 63% |
| Members of the public | 6 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 26% |
| Student > Ph. D. Student | 12 | 15% |
| Student > Master | 10 | 12% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 26 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 23% |
| Biochemistry, Genetics and Molecular Biology | 16 | 20% |
| Immunology and Microbiology | 9 | 11% |
| Computer Science | 3 | 4% |
| Medicine and Dentistry | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 26 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 22 February 2021.
All research outputs
#4,238,038
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#1,596
of 7,400 outputs
Outputs of similar age
#87,629
of 362,651 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 108 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% 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 362,651 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 108 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 73% of its contemporaries.