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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Predicting bacterial community assemblages using an artificial neural network approach.
|
|---|---|
| Chapter number | 3 |
| Book title |
Artificial Neural Networks
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2239-0_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2238-3, 978-1-4939-2239-0
|
| Authors |
Larsen P, Dai Y, Collart FR, Peter Larsen, Yang Dai, Frank R. Collart |
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 % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Australia | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 83 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 27% |
| Researcher | 12 | 14% |
| Student > Master | 11 | 13% |
| Student > Bachelor | 6 | 7% |
| Professor > Associate Professor | 6 | 7% |
| Other | 19 | 22% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 38% |
| Environmental Science | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 11% |
| Engineering | 6 | 7% |
| Computer Science | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 15 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 October 2016.
All research outputs
#13,626,177
of 23,498,099 outputs
Outputs from Methods in molecular biology
#3,618
of 13,368 outputs
Outputs of similar age
#172,867
of 356,521 outputs
Outputs of similar age from Methods in molecular biology
#242
of 1,005 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 72% 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 356,521 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 50% of its contemporaries.
We're also able to compare this research output to 1,005 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.