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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iMAP: an integrated bioinformatics and visualization pipeline for microbiome data analysis
|
|---|---|
| Published in |
BMC Bioinformatics, July 2019
|
| DOI | 10.1186/s12859-019-2965-4 |
| Pubmed ID | |
| Authors |
Teresia M. Buza, Triza Tonui, Francesca Stomeo, Christian Tiambo, Robab Katani, Megan Schilling, Beatus Lyimo, Paul Gwakisa, Isabella M. Cattadori, Joram Buza, Vivek Kapur |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
| Korea, Republic of | 1 | 11% |
| India | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 125 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 23% |
| Researcher | 24 | 19% |
| Student > Bachelor | 12 | 10% |
| Student > Doctoral Student | 11 | 9% |
| Student > Master | 11 | 9% |
| Other | 17 | 14% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 28% |
| Biochemistry, Genetics and Molecular Biology | 24 | 19% |
| Immunology and Microbiology | 7 | 6% |
| Computer Science | 6 | 5% |
| Medicine and Dentistry | 4 | 3% |
| Other | 20 | 16% |
| Unknown | 29 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 March 2020.
All research outputs
#7,148,744
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,747
of 7,387 outputs
Outputs of similar age
#126,723
of 349,060 outputs
Outputs of similar age from BMC Bioinformatics
#77
of 161 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,387 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 gotten more attention than average, scoring higher than 61% 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 349,060 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.