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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models
|
|---|---|
| Published in |
Plant Methods, April 2022
|
| DOI | 10.1186/s13007-022-00871-5 |
| Pubmed ID | |
| Authors |
Mohammad Sadat-Hosseini, Mohammad M. Arab, Mohammad Soltani, Maliheh Eftekhari, Amanollah Soleimani, Kourosh Vahdati |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 13% |
| Sudan | 1 | 13% |
| India | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 12 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 17% |
| Computer Science | 3 | 13% |
| Business, Management and Accounting | 2 | 9% |
| Unspecified | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 48% |
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 10 June 2022.
All research outputs
#7,468,284
of 23,660,057 outputs
Outputs from Plant Methods
#487
of 1,123 outputs
Outputs of similar age
#148,923
of 444,471 outputs
Outputs of similar age from Plant Methods
#23
of 48 outputs
Altmetric has tracked 23,660,057 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 1,123 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 55% 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 444,471 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 65% of its contemporaries.
We're also able to compare this research output to 48 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 52% of its contemporaries.