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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Towards a More Accurate Error Model for BioNano Optical Maps
|
|---|---|
| Chapter number | 6 |
| Book title |
Bioinformatics Research and Applications
|
| Published in |
Lecture notes in computer science, May 2016
|
| DOI | 10.1007/978-3-319-38782-6_6 |
| Book ISBNs |
978-3-31-938781-9, 978-3-31-938782-6
|
| Authors |
Menglu Li, Angel C. Y. Mak, Ernest T. Lam, Pui-Yan Kwok, Ming Xiao, Kevin Y. Yip, Ting-Fung Chan, Siu-Ming Yiu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 5 | 36% |
| Student > Ph. D. Student | 3 | 21% |
| Other | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 43% |
| Agricultural and Biological Sciences | 5 | 36% |
| Psychology | 1 | 7% |
| Unknown | 2 | 14% |
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 03 June 2016.
All research outputs
#14,341,817
of 22,965,074 outputs
Outputs from Lecture notes in computer science
#4,325
of 8,137 outputs
Outputs of similar age
#190,984
of 338,803 outputs
Outputs of similar age from Lecture notes in computer science
#138
of 305 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 44th percentile – i.e., 44% 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 338,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 305 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 52% of its contemporaries.