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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting the HMA-LMA Status in Marine Sponges by Machine Learning
|
|---|---|
| Published in |
Frontiers in Microbiology, May 2017
|
| DOI | 10.3389/fmicb.2017.00752 |
| Pubmed ID | |
| Authors |
Lucas Moitinho-Silva, Georg Steinert, Shaun Nielsen, Cristiane C. P. Hardoim, Yu-Chen Wu, Grace P. McCormack, Susanna López-Legentil, Roman Marchant, Nicole Webster, Torsten Thomas, Ute Hentschel |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 201 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 20% |
| Researcher | 33 | 16% |
| Student > Master | 27 | 13% |
| Student > Bachelor | 21 | 10% |
| Student > Doctoral Student | 8 | 4% |
| Other | 24 | 12% |
| Unknown | 47 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 29% |
| Biochemistry, Genetics and Molecular Biology | 38 | 19% |
| Environmental Science | 16 | 8% |
| Immunology and Microbiology | 7 | 3% |
| Computer Science | 6 | 3% |
| Other | 22 | 11% |
| Unknown | 54 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 14 April 2024.
All research outputs
#6,871,227
of 25,713,737 outputs
Outputs from Frontiers in Microbiology
#6,324
of 29,724 outputs
Outputs of similar age
#99,953
of 325,703 outputs
Outputs of similar age from Frontiers in Microbiology
#206
of 511 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 29,724 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 325,703 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 68% of its contemporaries.
We're also able to compare this research output to 511 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 59% of its contemporaries.