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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clustering analysis of large-scale phenotypic data in the model filamentous fungus Neurospora crassa
|
|---|---|
| Published in |
BMC Genomics, November 2020
|
| DOI | 10.1186/s12864-020-07131-7 |
| Pubmed ID | |
| Authors |
Alexander J. Carrillo, Ilva E. Cabrera, Marko J. Spasojevic, Patrick Schacht, Jason E. Stajich, Katherine A. Borkovich |
X Demographics
The data shown below were collected from the profiles of 16 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 | 7 | 44% |
| Curaçao | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 56% |
| Members of the public | 7 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 17% |
| Professor | 2 | 17% |
| Professor > Associate Professor | 2 | 17% |
| Student > Ph. D. Student | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 25% |
| Agricultural and Biological Sciences | 3 | 25% |
| Chemical Engineering | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Neuroscience | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 20 December 2020.
All research outputs
#2,878,107
of 23,257,423 outputs
Outputs from BMC Genomics
#1,021
of 10,735 outputs
Outputs of similar age
#75,163
of 420,817 outputs
Outputs of similar age from BMC Genomics
#13
of 191 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,735 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 90% 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 420,817 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 82% of its contemporaries.
We're also able to compare this research output to 191 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.