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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals
|
|---|---|
| Published in |
PLoS Computational Biology, June 2011
|
| DOI | 10.1371/journal.pcbi.1002073 |
| Pubmed ID | |
| Authors |
Nathan L. Nehrt, Wyatt T. Clark, Predrag Radivojac, Matthew W. Hahn |
X Demographics
The data shown below were collected from the profiles of 11 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 | 5 | 45% |
| Sweden | 1 | 9% |
| United Kingdom | 1 | 9% |
| Switzerland | 1 | 9% |
| Australia | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 362 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 20 | 6% |
| Spain | 6 | 2% |
| United Kingdom | 6 | 2% |
| Germany | 3 | <1% |
| Canada | 3 | <1% |
| Sweden | 3 | <1% |
| Brazil | 2 | <1% |
| Japan | 2 | <1% |
| Netherlands | 2 | <1% |
| Other | 9 | 2% |
| Unknown | 306 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 118 | 33% |
| Researcher | 86 | 24% |
| Student > Master | 26 | 7% |
| Student > Doctoral Student | 21 | 6% |
| Student > Bachelor | 21 | 6% |
| Other | 70 | 19% |
| Unknown | 20 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 228 | 63% |
| Biochemistry, Genetics and Molecular Biology | 57 | 16% |
| Computer Science | 26 | 7% |
| Medicine and Dentistry | 6 | 2% |
| Mathematics | 4 | 1% |
| Other | 13 | 4% |
| Unknown | 28 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 November 2022.
All research outputs
#1,041,368
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#830
of 8,960 outputs
Outputs of similar age
#4,056
of 124,588 outputs
Outputs of similar age from PLoS Computational Biology
#4
of 66 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 124,588 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 66 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.