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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Difficulty in inferring microbial community structure based on co-occurrence network approaches
|
|---|---|
| Published in |
BMC Bioinformatics, June 2019
|
| DOI | 10.1186/s12859-019-2915-1 |
| Pubmed ID | |
| Authors |
Hokuto Hirano, Kazuhiro Takemoto |
X Demographics
The data shown below were collected from the profiles of 35 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 | 5 | 14% |
| Japan | 3 | 9% |
| Switzerland | 2 | 6% |
| France | 2 | 6% |
| Australia | 1 | 3% |
| Netherlands | 1 | 3% |
| Austria | 1 | 3% |
| Mexico | 1 | 3% |
| Singapore | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 15 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 54% |
| Scientists | 16 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 251 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 65 | 26% |
| Researcher | 38 | 15% |
| Student > Master | 30 | 12% |
| Student > Bachelor | 20 | 8% |
| Student > Doctoral Student | 19 | 8% |
| Other | 27 | 11% |
| Unknown | 52 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 61 | 24% |
| Biochemistry, Genetics and Molecular Biology | 43 | 17% |
| Environmental Science | 22 | 9% |
| Immunology and Microbiology | 13 | 5% |
| Computer Science | 12 | 5% |
| Other | 34 | 14% |
| Unknown | 66 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 05 November 2019.
All research outputs
#1,955,232
of 24,287,697 outputs
Outputs from BMC Bioinformatics
#449
of 7,511 outputs
Outputs of similar age
#42,532
of 357,338 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 186 outputs
Altmetric has tracked 24,287,697 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,511 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 94% 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 357,338 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 88% of its contemporaries.
We're also able to compare this research output to 186 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 93% of its contemporaries.