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X Demographics
Mendeley readers
Attention Score in Context
| Title |
cChIP-seq: a robust small-scale method for investigation of histone modifications
|
|---|---|
| Published in |
BMC Genomics, December 2015
|
| DOI | 10.1186/s12864-015-2285-7 |
| Pubmed ID | |
| Authors |
Cristina Valensisi, Jo Ling Liao, Colin Andrus, Stephanie L. Battle, R. David Hawkins |
X Demographics
The data shown below were collected from the profiles of 10 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 | 40% |
| United Kingdom | 2 | 20% |
| Hungary | 1 | 10% |
| France | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 1 | 10% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Italy | 1 | 2% |
| Germany | 1 | 2% |
| Spain | 1 | 2% |
| Austria | 1 | 2% |
| Unknown | 51 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 26% |
| Student > Ph. D. Student | 14 | 25% |
| Student > Master | 8 | 14% |
| Student > Postgraduate | 3 | 5% |
| Professor | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 35% |
| Biochemistry, Genetics and Molecular Biology | 17 | 30% |
| Medicine and Dentistry | 3 | 5% |
| Neuroscience | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 10 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 25 September 2016.
All research outputs
#7,009,134
of 26,017,215 outputs
Outputs from BMC Genomics
#2,793
of 11,400 outputs
Outputs of similar age
#99,304
of 401,993 outputs
Outputs of similar age from BMC Genomics
#71
of 324 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 74% 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 401,993 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 324 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.