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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GeneRIF indexing: sentence selection based on machine learning
|
|---|---|
| Published in |
BMC Bioinformatics, May 2013
|
| DOI | 10.1186/1471-2105-14-171 |
| Pubmed ID | |
| Authors |
Antonio J Jimeno-Yepes, J Caitlin Sticco, James G Mork, Alan R Aronson |
| Abstract |
A Gene Reference Into Function (GeneRIF) describes novel functionality of genes. GeneRIFs are available from the National Center for Biotechnology Information (NCBI) Gene database. GeneRIF indexing is performed manually, and the intention of our work is to provide methods to support creating the GeneRIF entries. The creation of GeneRIF entries involves the identification of the genes mentioned in MEDLINE®; citations and the sentences describing a novel function. |
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 % |
|---|---|---|
| Sweden | 1 | 25% |
| Norway | 1 | 25% |
| Japan | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 5% |
| Netherlands | 1 | 2% |
| Sweden | 1 | 2% |
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 36 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Ph. D. Student | 8 | 19% |
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 33% |
| Computer Science | 10 | 23% |
| Social Sciences | 3 | 7% |
| Engineering | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 June 2013.
All research outputs
#13,505,387
of 23,301,510 outputs
Outputs from BMC Bioinformatics
#4,087
of 7,379 outputs
Outputs of similar age
#101,376
of 195,976 outputs
Outputs of similar age from BMC Bioinformatics
#59
of 112 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 195,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.