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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Constructing a database for the relations between CNV and human genetic diseases via systematic text mining
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2526-2 |
| Pubmed ID | |
| Authors |
Xi Yang, Zhuo Song, Chengkun Wu, Wei Wang, Gen Li, Wei Zhang, Lingqian Wu, Kai Lu |
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 % |
|---|---|---|
| United Kingdom | 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 17% |
| Student > Doctoral Student | 3 | 8% |
| Lecturer | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 17 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Medicine and Dentistry | 4 | 11% |
| Computer Science | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 19 | 53% |
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 07 January 2019.
All research outputs
#20,549,510
of 23,122,481 outputs
Outputs from BMC Bioinformatics
#6,905
of 7,330 outputs
Outputs of similar age
#371,533
of 437,292 outputs
Outputs of similar age from BMC Bioinformatics
#196
of 216 outputs
Altmetric has tracked 23,122,481 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 7,330 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 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 437,292 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 216 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.