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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of pathogenicity genes involved in adaptation to a lupin host in the fungal pathogens Botrytis cinerea and Sclerotinia sclerotiorum via comparative genomics
|
|---|---|
| Published in |
BMC Genomics, May 2019
|
| DOI | 10.1186/s12864-019-5774-2 |
| Pubmed ID | |
| Authors |
Mahsa Mousavi-Derazmahalleh, Steven Chang, Geoff Thomas, Mark Derbyshire, Phillip E. Bayer, David Edwards, Matthew N. Nelson, William Erskine, Francisco J. Lopez-Ruiz, Jon Clements, James K. Hane |
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 % |
|---|---|---|
| Australia | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 24% |
| Researcher | 4 | 12% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 27% |
| Agricultural and Biological Sciences | 7 | 21% |
| Nursing and Health Professions | 2 | 6% |
| Unspecified | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 10 | 30% |
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 24 May 2019.
All research outputs
#7,652,800
of 23,577,654 outputs
Outputs from BMC Genomics
#3,657
of 10,787 outputs
Outputs of similar age
#136,515
of 352,916 outputs
Outputs of similar age from BMC Genomics
#93
of 250 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 65% 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 352,916 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 61% of its contemporaries.
We're also able to compare this research output to 250 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 62% of its contemporaries.