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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genes2FANs: connecting genes through functional association networks
|
|---|---|
| Published in |
BMC Bioinformatics, July 2012
|
| DOI | 10.1186/1471-2105-13-156 |
| Pubmed ID | |
| Authors |
Ruth Dannenfelser, Neil R Clark, Avi Ma'ayan |
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 States | 2 | 33% |
| United Kingdom | 1 | 17% |
| Finland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 4% |
| United States | 3 | 3% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Denmark | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 99 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 28% |
| Researcher | 29 | 26% |
| Student > Master | 8 | 7% |
| Professor | 8 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 22 | 19% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 35% |
| Biochemistry, Genetics and Molecular Biology | 20 | 18% |
| Computer Science | 16 | 14% |
| Medicine and Dentistry | 10 | 9% |
| Psychology | 5 | 4% |
| Other | 12 | 11% |
| Unknown | 11 | 10% |
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 03 August 2012.
All research outputs
#12,664,138
of 22,669,724 outputs
Outputs from BMC Bioinformatics
#3,618
of 7,247 outputs
Outputs of similar age
#86,880
of 164,217 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 96 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,247 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 48th percentile – i.e., 48% 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 164,217 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 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 57% of its contemporaries.