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Mendeley readers
Attention Score in Context
| Title |
Content-rich biological network constructed by mining PubMed abstracts
|
|---|---|
| Published in |
BMC Bioinformatics, October 2004
|
| DOI | 10.1186/1471-2105-5-147 |
| Pubmed ID | |
| Authors |
Hao Chen, Burt M Sharp |
Mendeley readers
The data shown below were compiled from readership statistics for 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| United Kingdom | 5 | 2% |
| Portugal | 3 | 1% |
| France | 2 | <1% |
| Australia | 2 | <1% |
| Spain | 2 | <1% |
| Japan | 2 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 211 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 62 | 26% |
| Student > Ph. D. Student | 56 | 23% |
| Student > Master | 31 | 13% |
| Professor > Associate Professor | 20 | 8% |
| Other | 16 | 7% |
| Other | 40 | 16% |
| Unknown | 18 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 34% |
| Computer Science | 64 | 26% |
| Biochemistry, Genetics and Molecular Biology | 26 | 11% |
| Medicine and Dentistry | 12 | 5% |
| Engineering | 7 | 3% |
| Other | 28 | 12% |
| Unknown | 24 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 October 2016.
All research outputs
#22,671,433
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#7,241
of 7,672 outputs
Outputs of similar age
#73,685
of 75,428 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% 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 75,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them