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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Revealing transcription factor and histone modification co-localization and dynamics across cell lines by integrating ChIP-seq and RNA-seq data
|
|---|---|
| Published in |
BMC Genomics, December 2018
|
| DOI | 10.1186/s12864-018-5278-5 |
| Pubmed ID | |
| Authors |
Lirong Zhang, Gaogao Xue, Junjie Liu, Qianzhong Li, Yong Wang |
X Demographics
The data shown below were collected from the profiles of 12 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 States | 4 | 33% |
| Canada | 1 | 8% |
| Japan | 1 | 8% |
| France | 1 | 8% |
| Mexico | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 4 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 26% |
| Researcher | 11 | 17% |
| Student > Bachelor | 8 | 12% |
| Student > Master | 5 | 8% |
| Professor | 4 | 6% |
| Other | 5 | 8% |
| Unknown | 16 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 35% |
| Agricultural and Biological Sciences | 17 | 26% |
| Medicine and Dentistry | 5 | 8% |
| Sports and Recreations | 1 | 2% |
| Materials Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 19 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 14 January 2019.
All research outputs
#5,542,036
of 23,120,280 outputs
Outputs from BMC Genomics
#2,188
of 10,708 outputs
Outputs of similar age
#111,719
of 437,292 outputs
Outputs of similar age from BMC Genomics
#54
of 243 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% of its peers.
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 has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.