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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A mutation degree model for the identification of transcriptional regulatory elements
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-262 |
| Pubmed ID | |
| Authors |
Changqing Zhang, Jin Wang, Xu Hua, Jinggui Fang, Huaiqiu Zhu, Xiang Gao |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| India | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 11% |
| United States | 2 | 7% |
| United Kingdom | 2 | 7% |
| Turkey | 1 | 4% |
| Germany | 1 | 4% |
| Norway | 1 | 4% |
| Unknown | 18 | 64% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 39% |
| Student > Ph. D. Student | 8 | 29% |
| Student > Bachelor | 3 | 11% |
| Professor | 2 | 7% |
| Student > Master | 1 | 4% |
| Other | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 79% |
| Computer Science | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 June 2011.
All research outputs
#13,740,846
of 23,294,050 outputs
Outputs from BMC Bioinformatics
#4,286
of 7,377 outputs
Outputs of similar age
#78,637
of 117,049 outputs
Outputs of similar age from BMC Bioinformatics
#65
of 105 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,377 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 38th percentile – i.e., 38% 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 117,049 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.