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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information
|
|---|---|
| Published in |
BMC Bioinformatics, September 2009
|
| DOI | 10.1186/1471-2105-10-290 |
| Pubmed ID | |
| Authors |
Marcio L Acencio, Ney Lemke |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Chile | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 119 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 21% |
| Researcher | 22 | 17% |
| Student > Bachelor | 17 | 13% |
| Student > Master | 15 | 12% |
| Student > Doctoral Student | 7 | 6% |
| Other | 18 | 14% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 34% |
| Biochemistry, Genetics and Molecular Biology | 22 | 17% |
| Computer Science | 19 | 15% |
| Engineering | 11 | 9% |
| Chemistry | 3 | 2% |
| Other | 6 | 5% |
| Unknown | 23 | 18% |
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 01 April 2015.
All research outputs
#15,328,338
of 22,797,621 outputs
Outputs from BMC Bioinformatics
#5,372
of 7,281 outputs
Outputs of similar age
#67,877
of 81,143 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 54 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,281 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 18th percentile – i.e., 18% 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 81,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.