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X Demographics
Mendeley readers
Attention Score in Context
| Title |
pubmed2ensembl: A Resource for Mining the Biological Literature on Genes
|
|---|---|
| Published in |
PLOS ONE, September 2011
|
| DOI | 10.1371/journal.pone.0024716 |
| Pubmed ID | |
| Authors |
Joachim Baran, Martin Gerner, Maximilian Haeussler, Goran Nenadic, Casey M. Bergman |
| Abstract |
The last two decades have witnessed a dramatic acceleration in the production of genomic sequence information and publication of biomedical articles. Despite the fact that genome sequence data and publications are two of the most heavily relied-upon sources of information for many biologists, very little effort has been made to systematically integrate data from genomic sequences directly with the biological literature. For a limited number of model organisms dedicated teams manually curate publications about genes; however for species with no such dedicated staff many thousands of articles are never mapped to genes or genomic regions. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 7% |
| United States | 4 | 4% |
| Australia | 2 | 2% |
| Canada | 2 | 2% |
| Spain | 2 | 2% |
| France | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 73 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 26% |
| Student > Ph. D. Student | 14 | 15% |
| Other | 10 | 11% |
| Student > Master | 6 | 7% |
| Professor | 6 | 7% |
| Other | 19 | 21% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 49% |
| Computer Science | 11 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Medicine and Dentistry | 5 | 5% |
| Unspecified | 1 | 1% |
| Other | 7 | 8% |
| Unknown | 15 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 31 January 2014.
All research outputs
#2,086,455
of 23,283,373 outputs
Outputs from PLOS ONE
#26,377
of 198,979 outputs
Outputs of similar age
#10,601
of 133,107 outputs
Outputs of similar age from PLOS ONE
#287
of 2,568 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 86% 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 133,107 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 92% of its contemporaries.
We're also able to compare this research output to 2,568 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.