You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptome analysis reveals differential immune related genes expression in bovine viral diarrhea virus-2 infected goat peripheral blood mononuclear cells (PBMCs)
|
|---|---|
| Published in |
BMC Genomics, June 2019
|
| DOI | 10.1186/s12864-019-5830-y |
| Pubmed ID | |
| Authors |
Wenliang Li, Li Mao, Xin Shu, Runxia Liu, Fei Hao, Jizong Li, Maojun Liu, Leilei Yang, Wenwen Zhang, Min Sun, Chunyan Zhong, Jieyuan Jiang |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 20% |
| Professor > Associate Professor | 5 | 13% |
| Researcher | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 25% |
| Agricultural and Biological Sciences | 7 | 18% |
| Veterinary Science and Veterinary Medicine | 5 | 13% |
| Medicine and Dentistry | 3 | 8% |
| Arts and Humanities | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 12 | 30% |
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 November 2019.
All research outputs
#15,047,580
of 23,151,189 outputs
Outputs from BMC Genomics
#6,173
of 10,712 outputs
Outputs of similar age
#205,052
of 352,212 outputs
Outputs of similar age from BMC Genomics
#137
of 251 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 352,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.