You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
eGIFT: Mining Gene Information from the Literature
|
|---|---|
| Published in |
BMC Bioinformatics, August 2010
|
| DOI | 10.1186/1471-2105-11-418 |
| Pubmed ID | |
| Authors |
Catalina O Tudor, Carl J Schmidt, K Vijay-Shanker |
| Abstract |
With the biomedical literature continually expanding, searching PubMed for information about specific genes becomes increasingly difficult. Not only can thousands of results be returned, but gene name ambiguity leads to many irrelevant hits. As a result, it is difficult for life scientists and gene curators to rapidly get an overall picture about a specific gene from documents that mention its names and synonyms. |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Brazil | 2 | 3% |
| France | 2 | 3% |
| Germany | 1 | 1% |
| Portugal | 1 | 1% |
| Canada | 1 | 1% |
| Lithuania | 1 | 1% |
| Spain | 1 | 1% |
| Mexico | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 61 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 26% |
| Student > Ph. D. Student | 18 | 25% |
| Other | 5 | 7% |
| Professor > Associate Professor | 5 | 7% |
| Professor | 4 | 5% |
| Other | 16 | 22% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 45% |
| Computer Science | 16 | 22% |
| Medicine and Dentistry | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Chemistry | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 7 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 29 February 2012.
All research outputs
#4,386,772
of 22,663,150 outputs
Outputs from BMC Bioinformatics
#1,653
of 7,246 outputs
Outputs of similar age
#18,521
of 94,296 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 51 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,246 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 77% 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 94,296 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 80% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.